Mathematical Morphology and Its Applications to Signal and Image Processing

[1]  K. Ming Leung,et al.  Learning Vector Quantization , 2017, Encyclopedia of Machine Learning and Data Mining.

[2]  Bo Yang,et al.  3D rotation invariants of Gaussian-Hermite moments , 2015, Pattern Recognit. Lett..

[3]  Qiang Chen,et al.  Contextualizing Object Detection and Classification , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Thierry Géraud,et al.  A Comparative Review of Component Tree Computation Algorithms , 2014, IEEE Transactions on Image Processing.

[5]  Alexandru Telea,et al.  Gap-Sensitive Segmentation and Restoration of Digital Images , 2014, TPCG.

[6]  Peter Sussner,et al.  Quantale-based autoassociative memories with an application to the storage of color images , 2013, Pattern Recognit. Lett..

[7]  Adam Huang,et al.  A robust hair segmentation and removal approach for clinical images of skin lesions , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[8]  Hugues Talbot,et al.  Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology , 2013, Medical Image Anal..

[9]  Alexandru Telea,et al.  A Dense Medial Descriptor for Image Analysis , 2013, VISAPP.

[10]  Yongchao Xu,et al.  Context-based energy estimator: Application to object segmentation on the tree of shapes , 2012, 2012 19th IEEE International Conference on Image Processing.

[11]  Pascal Fua,et al.  A Real-Time Deformable Detector , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Qaisar Abbas,et al.  Unsupervised skin lesions border detection via two-dimensional image analysis , 2011, Comput. Methods Programs Biomed..

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

[14]  Marina Pervukhina,et al.  Segmentation of Cracks in Shale Rock , 2011, ISMM.

[15]  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.

[16]  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.

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

[18]  Tiow Seng Tan,et al.  Parallel Banding Algorithm to compute exact distance transform with the GPU , 2010, I3D '10.

[19]  Zhong Linghui,et al.  Pre‐diagnostic digital imaging prediction model to discriminate between malignant melanoma and benign pigmented skin lesion , 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]  Erik R. Urbach.  Contextual image filtering , 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

[21]  John G. Stell,et al.  Why Mathematical Morphology Needs Quantales , 2009 .

[22]  Jean Paul Frédéric Serra,et al.  The "False Colour" Problem , 2009, ISMM.

[23]  Tomasz F. Stepinski,et al.  Automatic detection of sub-km craters in high resolution planetary images , 2009 .

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

[25]  Peter Sussner,et al.  Classification of Fuzzy Mathematical Morphologies Based on Concepts of Inclusion Measure and Duality , 2008, Journal of Mathematical Imaging and Vision.

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

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

[28]  Michael H. F. Wilkinson,et al.  Volumetric Attribute Filtering and Interactive Visualization Using the Max-Tree Representation , 2007, IEEE Transactions on Image Processing.

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

[30]  Michael H. F. Wilkinson,et al.  Mask-Based Second-Generation Connectivity and Attribute Filters , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[31]  Michael H. F. Wilkinson,et al.  Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[32]  Michel Couprie,et al.  Building the Component Tree in Quasi-Linear Time , 2006, IEEE Transactions on Image Processing.

[33]  Etienne E. Kerre,et al.  Vector Morphological Operators for Colour Images , 2005, ICIAR.

[34]  Alexandru Telea,et al.  An Image Inpainting Technique Based on the Fast Marching Method , 2004, J. Graphics, GPU, & Game Tools.

[35]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

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

[37]  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.

[38]  Alexandru Telea,et al.  An Augmented Fast Marching Method for Computing Skeletons and Centerlines , 2002, VisSym.

[39]  Petros Maragos,et al.  Segmentation of soil section images using connected operators , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[40]  Gilles Bertrand,et al.  Topological operators for grayscale image processing , 2001, J. Electronic Imaging.

[41]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[42]  Arthur R. Weeks,et al.  Morphological operations on color images , 2001, J. Electronic Imaging.

[43]  Kristel Michielsen,et al.  Morphological image analysis , 2000 .

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

[45]  Henk J. A. M. Heijmans.  Connected Morphological Operators for Binary Images , 1999, Comput. Vis. Image Underst..

[46]  Hugues Talbot,et al.  Complete ordering and multivariate mathematical morphology , 1998 .

[47]  Philippe Salembier,et al.  Antiextensive connected operators for image and sequence processing , 1998, IEEE Trans. Image Process..

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

[49]  E. Dougherty,et al.  Size distributions for multivariate morphological granulometries: texture classification and statistical properties , 1997 .

[50]  Ronald Jones,et al.  Attribute Openings, Thinnings, and Granulometries , 1996, Comput. Vis. Image Underst..

[51]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.

[52]  N. Altman.  An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .

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

[54]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .