A State-of-the-Art Survey on Lesion Border Detection in Dermoscopy Images

[1]  Mohammad Aldeen,et al.  Border detection in dermoscopy images using hybrid thresholding on optimized color channels , 2011, Comput. Medical Imaging Graph..

[2]  Qaisar Abbas,et al.  A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[3]  G. Forsythe Generation and Use of Orthogonal Polynomials for Data-Fitting with a Digital Computer , 1957 .

[4]  Mutlu Mete,et al.  Lesion detection in demoscopy images with novel density-based and active contour approaches , 2010, BMC Bioinformatics.

[5]  Qaisar Abbas,et al.  Skin tumor area extraction using an improved dynamic programming approach , 2012, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[6]  Junji Maeda,et al.  Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images , 2009, IEEE Journal of Selected Topics in Signal Processing.

[7]  Carlo Gatta,et al.  A new algorithm for unsupervised global and local color correction , 2003, Pattern Recognit. Lett..

[8]  Lei Zhang,et al.  Retinal vessel extraction by matched filter with first-order derivative of Gaussian , 2010, Comput. Biol. Medicine.

[9]  Xuelong Li,et al.  Mean shift based gradient vector flow for image segmentation , 2013, Comput. Vis. Image Underst..

[10]  Josef Kittler,et al.  Minimum error thresholding , 1986, Pattern Recognit..

[11]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[12]  James C. Bezdek,et al.  Image segmentation by fuzzy clustering: methods and issues , 2000 .

[13]  Pedro M. Ferreira,et al.  PH2 - A dermoscopic image database for research and benchmarking , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[14]  Rita Cucchiara,et al.  Line Detection and Texture Characterization of Network Patterns , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[15]  Tim K. Lee,et al.  Chromatic aberration correction: an enhancement to the calibration of low‐cost digital dermoscopes , 2011, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[16]  P.K Sahoo,et al.  A survey of thresholding techniques , 1988, Comput. Vis. Graph. Image Process..

[17]  Pedro M. Ferreira,et al.  A Wide Spread of Algorithms for Automatic Segmentation of Dermoscopic Images , 2013, IbPRIA.

[18]  Jean-Michel Lagarde,et al.  An a priori Shading Correction Technique for Contact Imaging Devices , 2011, IEEE Transactions on Image Processing.

[19]  Fred Godtliebsen,et al.  Unsupervised segmentation for digital dermoscopic images , 2010, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[20]  M. Emre Celebi,et al.  A Feature‐Preserving Hair Removal Algorithm for Dermoscopy Images , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[21]  Andrew Hammoude,et al.  Computer-assisted endocardial border identification from a sequence of two-dimensional echocardiographic images , 1988 .

[22]  Ghassan Hamarneh,et al.  Learning features for streak detection in dermoscopic color images using localized radial flux of principal intensity curvature , 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

[23]  Niloofar Gheissari,et al.  Segmentation of Dermoscopy Images Using Wavelet Networks , 2013, IEEE Transactions on Biomedical Engineering.

[24]  Philippe Schmid-Saugeona,et al.  Towards a computer-aided diagnosis system for pigmented skin lesions. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[25]  Rita Cucchiara,et al.  Exploiting color and topological features for region segmentation with recursive fuzzy C-means , 2002 .

[26]  László Neumann,et al.  A novel method for color correction in epiluminescence microscopy , 2011, Comput. Medical Imaging Graph..

[27]  Shi-Yin Qin,et al.  PDE-based unsupervised repair of hair-occluded information in dermoscopy images of melanoma , 2009, Comput. Medical Imaging Graph..

[28]  Qaisar Abbas,et al.  Unified approach for lesion border detection based on mixture modeling and local entropy thresholding , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[29]  I. Terol-Villalobos Morphological image enhancement and segmentation , 2001 .

[30]  Yongmin Kim,et al.  A methodology for evaluation of boundary detection algorithms on medical images , 1997, IEEE Transactions on Medical Imaging.

[31]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[32]  Masafumi Hagiwara,et al.  An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm , 2008, Comput. Medical Imaging Graph..

[33]  Jorge S. Marques,et al.  Improving Dermoscopy Image Classification Using Color Constancy , 2015, IEEE Journal of Biomedical and Health Informatics.

[34]  R. Joe Stanley,et al.  Detection of asymmetric blotches (asymmetric structureless areas) in dermoscopy images of malignant melanoma using relative color , 2005, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[35]  Randy H. Moss,et al.  Automatic detection of blue-white veil and related structures in dermoscopy images , 2008, Comput. Medical Imaging Graph..

[36]  Ali Madooei,et al.  Automated Pre-processing Method for Dermoscopic Images and its Application to Pigmented Skin Lesion Segmentation , 2012, CIC.

[37]  M. Stella Atkins,et al.  A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting , 2009, MICCAI.

[38]  Sankar K. Pal,et al.  A review on image segmentation techniques , 1993, Pattern Recognit..

[39]  Ahmad R. Sharafat,et al.  E-shaver: An improved DullRazor® for digitally removing dark and light-colored hairs in dermoscopic images , 2011, Comput. Biol. Medicine.

[40]  Jean Serra Advances in Mathematical Morphology: Segmentation , 2008 .

[41]  M. Goldbaum,et al.  Detection of blood vessels in retinal images using two-dimensional matched filters. , 1989, IEEE transactions on medical imaging.

[42]  Uday B. Desai,et al.  Bayesian Approach to Image Interpretation , 2001 .

[43]  Gerald Schaefer,et al.  Colour and contrast enhancement for improved skin lesion segmentation , 2011, Comput. Medical Imaging Graph..

[44]  Djemel Ziou,et al.  Edge Detection Techniques-An Overview , 1998 .

[45]  Masaru Tanaka,et al.  Three‐phase general border detection method for dermoscopy images using non‐uniform illumination correction , 2012, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[46]  Ghassan Hamarneh,et al.  Hair Enhancement in Dermoscopic Images Using Dual-Channel Quaternion Tubularness Filters and MRF-Based Multilabel Optimization , 2014, IEEE Transactions on Image Processing.

[47]  Leonidas J. Guibas,et al.  The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.

[48]  R. Joe Stanley,et al.  Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images , 2011, Comput. Medical Imaging Graph..

[49]  Constantine Butakoff,et al.  Independent Histogram Pursuit for Segmentation of Skin Lesions , 2008, IEEE Transactions on Biomedical Engineering.

[50]  Hassan A. Kingravi,et al.  Deterministic Initialization of the k-Means Algorithm using Hierarchical Clustering , 2012, Int. J. Pattern Recognit. Artif. Intell..

[51]  David I. McLean,et al.  Generalizing Common Tasks in Automated Skin Lesion Diagnosis , 2011, IEEE Transactions on Information Technology in Biomedicine.

[52]  Hamid Reza Pourreza,et al.  An effective hair removal algorithm for dermoscopy images , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[53]  T. Tanaka,et al.  Application of morphology for detection of Dots in tumor , 2004, SICE 2004 Annual Conference.

[54]  Ali Madooei,et al.  A Colour Palette for Automatic Detection of Blue-White Veil , 2013, Color Imaging Conference.

[55]  Steven W. Zucker,et al.  Region growing: Childhood and adolescence* , 1976 .

[56]  Masafumi Hagiwara,et al.  Quantitative assessment of tumour extraction from dermoscopy images and evaluation of computer-based extraction methods for an automatic melanoma diagnostic system , 2006, Melanoma research.

[57]  Lyndon Smith,et al.  Unsupervised sub‐segmentation for pigmented skin lesions , 2012, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[58]  Stein Olav Skrøvseth,et al.  Automatic Segmentation of Dermoscopic Images by Iterative Classification , 2011, Int. J. Biomed. Imaging.

[59]  Stein Olav Skrøvseth,et al.  Bayesian multiscale analysis of images modeled as Gaussian Markov random fields , 2012, Comput. Stat. Data Anal..

[60]  Randy H. Moss,et al.  Advances in skin cancer image analysis , 2011, Comput. Medical Imaging Graph..

[61]  Silvano Di Zenzo,et al.  Advances in image segmentation , 1983, Image Vis. Comput..

[62]  G. Fabbrocini,et al.  Dermoscopic image-analysis system: estimation of atypical pigment network and atypical vascular pattern , 2006, IEEE International Workshop on Medical Measurement and Applications, 2006. MeMea 2006..

[63]  Jos B. T. M. Roerdink,et al.  The Watershed Transform: Definitions, Algorithms and Parallelization Strategies , 2000, Fundam. Informaticae.

[64]  Hans-Peter Kriegel,et al.  Density‐based clustering , 2011, WIREs Data Mining Knowl. Discov..

[65]  Qaisar Abbas,et al.  Hair removal methods: A comparative study for dermoscopy images , 2011, Biomed. Signal Process. Control..

[66]  Jun Zhang,et al.  Segmentation of dermatoscopic images by stabilized inverse diffusion equations , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[67]  David I. McLean,et al.  Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions , 2013, IEEE Transactions on Medical Imaging.

[68]  Arnold W. M. Smeulders,et al.  Color-based object recognition , 1997, Pattern Recognit..

[69]  K Wolff,et al.  Statistical evaluation of epiluminescence microscopy criteria for melanocytic pigmented skin lesions. , 1993, Journal of the American Academy of Dermatology.

[70]  Marek Elbaum,et al.  Can early malignant melanoma be differentiated from atypical melanocytic nevus by in vivo techniques? , 1997, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[71]  Olga Veksler,et al.  Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[72]  Alan C. Bovik,et al.  Automatic segmentation of dermoscopy images using self-generating neural networks seeded by genetic algorithm , 2013, Pattern Recognit..

[73]  Patrick Hébert,et al.  Median Filtering in Constant Time , 2007, IEEE Transactions on Image Processing.

[74]  M. Stella Atkins,et al.  A novel method for detection of pigment network in dermoscopic images using graphs , 2011, Comput. Medical Imaging Graph..

[75]  David I. McLean,et al.  Irregularity index: A new border irregularity measure for cutaneous melanocytic lesions , 2003, Medical Image Anal..

[76]  W. Stoecker,et al.  Unsupervised border detection in dermoscopy images , 2007, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[77]  Rita Cucchiara,et al.  Automated Extraction and Description of Dark Areas in Surface Microscopy Melanocytic Lesion Images , 2004, Dermatology.

[78]  Catarina Barata,et al.  A System for the Detection of Pigment Network in Dermoscopy Images Using Directional Filters , 2012, IEEE Transactions on Biomedical Engineering.

[79]  P. D. Thouin,et al.  Survey and comparative analysis of entropy and relative entropy thresholding techniques , 2006 .

[80]  Mitra Basu,et al.  Gaussian-based edge-detection methods - a survey , 2002, IEEE Trans. Syst. Man Cybern. Part C.

[81]  Gerhard Winkler,et al.  Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction , 2002 .

[82]  Patricio A. Vela,et al.  A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm , 2012, Expert Syst. Appl..

[83]  Gerald Schaefer,et al.  Anisotropic Mean Shift Based Fuzzy C-Means Segmentation of Dermoscopy Images , 2009, IEEE Journal of Selected Topics in Signal Processing.

[84]  Mário A. T. Figueiredo,et al.  Color identification in dermoscopy images using Gaussian mixture models , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[85]  P. Jaccard Distribution de la flore alpine dans le bassin des Dranses et dans quelques régions voisines , 1901 .

[86]  M. Emin Yüksel,et al.  Accurate Segmentation of Dermoscopic Images by Image Thresholding Based on Type-2 Fuzzy Logic , 2009, IEEE Transactions on Fuzzy Systems.

[87]  Jorge S. Marques,et al.  Dermoscopy Image Analysis , 2015 .

[88]  Hamid Soltanian-Zadeh,et al.  Radon transform orientation estimation for rotation invariant texture analysis , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[89]  Jin Xu,et al.  Detection of granularity in dermoscopy images of malignant melanoma using color and texture features , 2011, Comput. Medical Imaging Graph..

[90]  G E Gigante,et al.  Toward a quantitative analysis of skin lesion images. , 2002, Studies in health technology and informatics.

[91]  Martial Hebert,et al.  Toward Objective Evaluation of Image Segmentation Algorithms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[92]  Enoch Peserico,et al.  Is (N)PRI suitable for evaluating automated segmentation of cutaneous lesions? , 2010, Pattern Recognit. Lett..

[93]  Gerald Schaefer,et al.  Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[94]  Charles Poynton,et al.  Digital Video and HDTV Algorithms and Interfaces , 2012 .

[95]  Xavier Cufí,et al.  Strategies for image segmentation combining region and boundary information , 2003, Pattern Recognit. Lett..

[96]  Noel E. O'Connor,et al.  A comparative evaluation of interactive segmentation algorithms , 2010, Pattern Recognit..

[97]  Scott T. Acton,et al.  Diffusion Partial Differential Equations for Edge Detection , 2009 .

[98]  P. Schmid Segmentation of digitized dermatoscopic images by two-dimensional color clustering , 1999, IEEE Transactions on Medical Imaging.

[99]  Rolf Adams,et al.  Seeded Region Growing , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[100]  Joost van de Weijer,et al.  Fast Anisotropic Gauss Filtering , 2002, ECCV.

[101]  Philippe Schmid-Saugeon,et al.  Symmetry axis computation for almost-symmetrical and asymmetrical objects: Application to pigmented skin lesions , 2000, Medical Image Anal..

[102]  Olatz Arbelaitz,et al.  An extensive comparative study of cluster validity indices , 2013, Pattern Recognit..

[103]  Ana Afonso,et al.  Hair detection in dermoscopic images using Percolation , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[104]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[105]  Gerald Schaefer,et al.  Lesion border detection in dermoscopy images , 2009, Comput. Medical Imaging Graph..

[106]  James M. Rehg,et al.  Exemplar-based segmentation of pigmented skin lesions from dermoscopy images , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[107]  Mutlu Mete,et al.  An improved border detection in dermoscopy images for density based clustering , 2011, BMC Bioinformatics.

[108]  Yves Vander Haeghen,et al.  An imaging system with calibrated color image acquisition for use in dermatology , 2000, IEEE Transactions on Medical Imaging.

[109]  Fatih Celiker,et al.  Fast Color Space Transformations Using Minimax Approximations , 2010, ArXiv.

[110]  Pedro M. Ferreira,et al.  An annotation tool for dermoscopic image segmentation , 2012, VIGTA '12.

[111]  Xiaohe Chen,et al.  Watershed segmentation of dermoscopy images using a watershed technique , 2010, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[112]  Leonhard Held,et al.  Gaussian Markov Random Fields: Theory and Applications , 2005 .

[113]  Vicent Caselles,et al.  4.17 – Geometric Active Contours for Image Segmentation , 2005 .

[114]  Anil K. Jain,et al.  Random field models in image analysis , 1989 .

[115]  G Pellacani,et al.  Practical color calibration for dermoscopy, applied to a digital epiluminescence microscope , 2005, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[116]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[117]  Guillod Joel,et al.  Validation of segmentation techniques for digital dermoscopy , 2002, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[118]  King-Sun Fu,et al.  A survey on image segmentation , 1981, Pattern Recognit..

[119]  Randy H. Moss,et al.  A methodological approach to the classification of dermoscopy images , 2007, Comput. Medical Imaging Graph..

[120]  G R Day,et al.  How blurry is that border? An investigation into algorithmic reproduction of skin lesion border cut-off. , 2000, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[121]  Songyot Nakariyakul Fast spatial averaging: an efficient algorithm for 2D mean filtering , 2011, The Journal of Supercomputing.

[122]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[123]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[124]  Hans-Peter Kriegel,et al.  Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications , 1998, Data Mining and Knowledge Discovery.

[125]  Ricardo J. G. B. Campello,et al.  Relative clustering validity criteria: A comparative overview , 2010 .

[126]  Begoña García Zapirain,et al.  Blue-white veil and dark-red patch of pigment pattern recognition in dermoscopic images using machine-learning techniques , 2011, 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

[127]  Stan Z. Li,et al.  Markov Random Field Modeling in Image Analysis , 2001, Computer Science Workbench.

[128]  Gerald Schaefer,et al.  Automated color calibration method for dermoscopy images , 2011, Comput. Medical Imaging Graph..

[129]  Gerald Schaefer,et al.  Approximate lesion localization in dermoscopy images , 2009, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[130]  Rita Cucchiara,et al.  Comparison of color clustering algorithms for segmentation of dermatological images , 2006, SPIE Medical Imaging.

[131]  Sae Hwang,et al.  Texture Segmentation of Dermoscopy Images using Gabor Filters and G-Means Clustering , 2010, IPCV.

[132]  Folkmar Bornemann,et al.  Fast Image Inpainting Based on Coherence Transport , 2007, Journal of Mathematical Imaging and Vision.

[133]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[134]  Begoña García Zapirain,et al.  Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis , 2014, Comput. Biol. Medicine.

[135]  P. A. Mlsna,et al.  Gradient and Laplacian Edge Detection , 2009 .

[136]  Chris A. Glasbey,et al.  An Analysis of Histogram-Based Thresholding Algorithms , 1993, CVGIP Graph. Model. Image Process..

[137]  Carsten Steger,et al.  An Unbiased Detector of Curvilinear Structures , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[138]  Randy H. Moss,et al.  Detection of solid pigment in dermatoscopy images using texture analysis , 2000, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[139]  Mutlu Mete,et al.  Fast density-based lesion detection in dermoscopy images , 2011, Comput. Medical Imaging Graph..

[140]  Jr. Thomas G. Stockham,et al.  Image processing in the context of a visual model , 1972 .

[141]  MacaireLudovic,et al.  Color image segmentation by pixel classification in an adapted hybrid color space , 2003 .

[142]  W. Pratt Spatial Transform Coding of Color Images , 1971 .

[143]  Larry S. Davis,et al.  A survey of edge detection techniques , 1975 .

[144]  Brian C. Lovell,et al.  Blotch Detection in Pigmented Skin Lesions Using Fuzzy Co-clustering and Texture Segmentation , 2009, 2009 Digital Image Computing: Techniques and Applications.

[145]  C R Dyer,et al.  Techniques for a structural analysis of dermatoscopic imagery. , 1998, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[146]  Enoch Peserico,et al.  VirtualShave: Automated hair removal from digital dermatoscopic images , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[147]  Michael Elad,et al.  A Variational Framework for Retinex , 2002, IS&T/SPIE Electronic Imaging.

[148]  Maria Petrou,et al.  The Differentiating Filter Approach to Edge Detection , 1994 .

[149]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[150]  Jitendra Malik,et al.  Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[151]  David Zhang,et al.  Dark line detection with line width extraction , 2008, 2008 15th IEEE International Conference on Image Processing.

[152]  Hisashi Tamaki,et al.  Skin Image Segmentation Using a Self-Organizing Map and Genetic Algorithms , 2003 .

[153]  Antonio Pietrosanto,et al.  ELM image processing for melanocytic skin lesion diagnosis based on 7-point checklist: a preliminary discussion , 2004 .

[154]  Andrew Mehnert,et al.  An improved seeded region growing algorithm , 1997, Pattern Recognit. Lett..

[155]  Fernand Meyer,et al.  Morphological segmentation revisited , 2005 .

[156]  Gerald Schaefer,et al.  Gradient vector flow with mean shift for skin lesion segmentation , 2011, Comput. Medical Imaging Graph..

[157]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[158]  Kapil Gupta,et al.  Fuzzy logic techniques for blotch feature evaluation in dermoscopy images , 2009, Comput. Medical Imaging Graph..

[159]  M. Stella Atkins,et al.  Segmentation of light and dark hair in dermoscopic images: a hybrid approach using a universal kernel , 2010, Medical Imaging.

[160]  Thierry Donadey,et al.  Boundary detection of black skin tumors using an adaptive radial-based approach , 2000, Medical Imaging: Image Processing.

[161]  Hassan A. Kingravi,et al.  Nonlinear vector filtering for impulsive noise removal from color images , 2007, J. Electronic Imaging.

[162]  Tian-Yuan Shih THE REVERSIBILITY OF 6 GEOMETRIC COLOR SPACES , 1995 .

[163]  Mutlu Mete,et al.  A soft kinetic data structure for lesion border detection , 2010, Bioinform..

[164]  Randy H. Moss,et al.  Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes , 2005, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[165]  Enoch Peserico,et al.  Simpler, Faster, More Accurate Melanocytic Lesion Segmentation Through MEDS , 2014, IEEE Transactions on Biomedical Engineering.

[166]  Rafael García,et al.  Computerized analysis of pigmented skin lesions: A review , 2012, Artif. Intell. Medicine.

[167]  Alfredo Paolillo,et al.  Towards an automatic diagnosis system for skin lesions: Estimation of blue-whitish veil and regression structures , 2009, 2009 6th International Multi-Conference on Systems, Signals and Devices.

[168]  A. Belloni Fortina,et al.  Variability in human and automatic segmentation of melanocytic lesions , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[169]  William V. Stoecker,et al.  Unsupervised color image segmentation: with application to skin tumor borders , 1996 .

[170]  Patrick Pérez,et al.  Region filling and object removal by exemplar-based image inpainting , 2004, IEEE Transactions on Image Processing.

[171]  Jerry L Prince,et al.  Image Segmentation Using Deformable Models , 2000 .

[172]  Jun Zhang,et al.  Analysis of the network pattern in dermatoscopic images , 1999 .

[173]  Zhiguo Jiang,et al.  No Reference Uneven Illumination Assessment for Dermoscopy Images , 2015, IEEE Signal Processing Letters.

[174]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[175]  Jing Li Wang,et al.  Color image segmentation: advances and prospects , 2001, Pattern Recognit..

[176]  Gerald Schaefer,et al.  An improved objective evaluation measure for border detection in dermoscopy images , 2009, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[177]  James M. Rehg,et al.  Feature-preserving artifact removal from dermoscopy images , 2008, SPIE Medical Imaging.

[178]  M. Binder,et al.  Epiluminescence microscopy. A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists. , 1995, Archives of dermatology.

[179]  M. Stella Atkins,et al.  Dermascopic hair disocclusion using inpainting , 2008, SPIE Medical Imaging.

[180]  T Lee,et al.  Dullrazor®: A software approach to hair removal from images , 1997, Comput. Biol. Medicine.

[181]  Jin Xu,et al.  Concentric decile segmentation of white and hypopigmented areas in dermoscopy images of skin lesions allows discrimination of malignant melanoma , 2011, Comput. Medical Imaging Graph..

[182]  Gerald Schaefer,et al.  Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[183]  Murali Anantha,et al.  Detection of pigment network in dermatoscopy images using texture analysis. , 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[184]  Eli Saber,et al.  Survey of contemporary trends in color image segmentation , 2012, J. Electronic Imaging.

[185]  Enoch Peserico,et al.  Where's the naevus? Inter‐operator variability in the localization of melanocytic lesion border , 2012, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[186]  Lars Kai Hansen,et al.  A Probabilistic Neural Network Framework for the Detection of Malignant Melanoma , 2001 .

[187]  Fernand Meyer,et al.  An Overview of Morphological Segmentation , 2001, Int. J. Pattern Recognit. Artif. Intell..

[188]  Azriel Rosenfeld,et al.  Histogram concavity analysis as an aid in threshold selection , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[189]  Nicolas Vandenbroucke,et al.  Color image segmentation by pixel classification in an adapted hybrid color space. Application to soccer image analysis , 2003, Comput. Vis. Image Underst..

[190]  F. Karray,et al.  Fuzzy Based Image Segmentation , 2003 .

[191]  Giuseppe Argenziano,et al.  Detection of atypical texture features in early malignant melanoma , 2010, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[192]  James M. Rehg,et al.  Spatially constrained segmentation of dermoscopy images , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[193]  Ali Madooei,et al.  Automatic Detection of Blue-White Veil by Discrete Colour Matching in Dermoscopy Images , 2013, MICCAI.

[194]  R. Joe Stanley,et al.  Fuzzy logic color detection: Blue areas in melanoma dermoscopy images , 2014, Comput. Medical Imaging Graph..

[195]  M. Emre Celebi,et al.  Improving the performance of k-means for color quantization , 2011, Image Vis. Comput..

[196]  Philippe Schmid Lesion detection in dermatoscopic images using anisotropic diffusion and morphological flooding , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[197]  M. Aldeen,et al.  Optimized Weighted Performance Index for Objective Evaluation of Border-Detection Methods in Dermoscopy Images , 2011, IEEE Transactions on Information Technology in Biomedicine.

[198]  Philippe Salembier,et al.  Morphological tools for segmentation : connected filters and watersheds , 1997, Ann. des Télécommunications.

[199]  Guillermo Sapiro,et al.  Image inpainting , 2000, SIGGRAPH.

[200]  D J Rogers,et al.  A Computer Program for Classifying Plants. , 1960, Science.

[201]  Pierre Soille,et al.  Morphological Image Analysis: Principles and Applications , 2003 .

[202]  Qaisar Abbas,et al.  Lesion border detection in dermoscopy images using dynamic programming , 2011, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[203]  P. Schmid,et al.  Analysis of skin lesions with pigmented networks , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[204]  Joan S. Weszka,et al.  A survey of threshold selection techniques , 1978 .