Inspecting Natural and Other Variable Objects

[1]  Stefan Posch,et al.  A Region Based Seed Detection for Root Detection in Minirhizotron Images , 2003, DAGM-Symposium.

[2]  Frédéric Truchetet,et al.  Spatial and Spectral Methods for Weed Detection and Localization , 2002, EURASIP J. Adv. Signal Process..

[3]  Andrew Zisserman,et al.  Automated Flower Classification over a Large Number of Classes , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[4]  David Casasent,et al.  New training strategies for RBF neural networks for X-ray agricultural product inspection , 2003, Pattern Recognit..

[5]  Vikram Chalana,et al.  PC‐based machine vision system for real‐time computer‐aided potato inspection , 1998 .

[6]  Takeshi Saitoh,et al.  Automatic recognition of blooming flowers , 2004, ICPR 2004.

[7]  Gabriel Taubin,et al.  VeggieVision: a produce recognition system , 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.

[8]  L. Kamoun,et al.  Machine Vision Based Quality Monitoring in Olive Oil Conditioning , 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.

[9]  Serge J. Belongie,et al.  BUBL: An effective region labeling tool using a hexagonal lattice , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[10]  Maria Luisa Durán,et al.  3D Reconstruction on MRI to Analyse Marbling and Fat Level in Iberian Loin , 2007, IbPRIA.

[11]  R. W. McClendon,et al.  Color Computer Vision and Artificial Neural Networks for the Detection of Defects in Poultry Eggs , 1998, Artificial Intelligence Review.

[12]  Marian Wiwart,et al.  Estimation of Fusarium Head Blight of Triticale Using Digital Image Analysis of Grain , 2001, CAIP.

[13]  Noboru Ohnishi,et al.  Computer vision based methods for detecting weeds in lawns , 2006, 2006 IEEE Conference on Cybernetics and Intelligent Systems.

[14]  Zou Xiaobo,et al.  Apple color grading based on organization feature parameters , 2007 .

[15]  Anil K. Jain,et al.  Automatic image analysis of plant root structures , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[16]  Tariq S. Durrani,et al.  An intelligent perception system for food quality inspection using color analysis , 1995, Proceedings., International Conference on Image Processing.

[17]  Norberto Malpica,et al.  Recognition and Quantification of Area Damaged by Oligonychus Perseae in Avocado Leaves , 2009, CIARP.

[18]  K. Edmatsu,et al.  Automated capsule inspection method , 1981, Pattern Recognit..

[19]  Mark H. Lee,et al.  Applying vision guidance in robotic food handling , 1996, IEEE Robotics Autom. Mag..

[20]  T. Wu,et al.  Longitudinal momentum distribution of pionization products , 1969 .

[21]  Rasmus Larsen,et al.  Kernel Based Subspace Projection of Near Infrared Hyperspectral Images of Maize Kernels , 2009, SCIA.

[22]  David Crystal,et al.  The Cambridge Encyclopedia of Language , 2012, Modern Language Review.

[23]  Mauro Barni,et al.  Colour-based detection of defects on chicken meat , 1997, Image Vis. Comput..

[24]  Gerrit Polder,et al.  Tomato sorting using independent component analysis on spectral images , 2003, Real Time Imaging.

[25]  Alberto Tellaeche,et al.  Design of a computer vision system for a differential spraying operation in precision agriculture using hebbian learning , 2007 .

[26]  G. Wilson,et al.  Anomalous Low-Temperature Susceptibility for Very Dilute Mn in Cu , 1967 .

[27]  Asa Prateepasen,et al.  Fitting a Pineapple Model for Automatic Maturity Grading , 2007, 2007 IEEE International Conference on Image Processing.

[28]  Jan Verbesselt,et al.  Magnitude- and Shape-Related Feature Integration in Hyperspectral Mixture Analysis to Monitor Weeds in Citrus Orchards , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Jesús D. García-Consuegra,et al.  A methodology for woody crop location and discrimination in remote sensing , 1999, Proceedings 10th International Conference on Image Analysis and Processing.

[30]  A. C. Pinder,et al.  Food Process Monitoring Systems , 1995 .

[31]  Jarbas Joaci de Mesquita Sá Junior,et al.  Plant leaf identification using Gabor wavelets , 2009 .

[32]  Wilson Harron,et al.  Predicting quality measures in beef cattle using ultrasound imaging , 2009, 2009 IEEE Symposium on Computational Intelligence for Image Processing.

[33]  Lei Yang,et al.  PFID: Pittsburgh fast-food image dataset , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[34]  Keiji Yanai,et al.  A food image recognition system with Multiple Kernel Learning , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[35]  Hanno Scharr,et al.  Measuring Plant Root Growth , 2008, DAGM-Symposium.

[36]  Xiaoqin Zhang,et al.  Boosted cannabis image recognition , 2008, 2008 19th International Conference on Pattern Recognition.

[37]  Da-Wen Sun,et al.  Computer vision technology for food quality evaluation , 2008 .

[38]  Kazuhiko Shiranita,et al.  Determination of meat quality by texture analysis , 1998, Pattern Recognit. Lett..

[39]  José Luis Pons Rovira,et al.  Machine Vision and Applications Manuscript-nr. a Vision System Based on a Laser Range--nder Applied to Robotic Fruit Harvesting , 2022 .

[40]  D. Kulasiri,et al.  Towards a generalized colour image segmentation for kiwifruit detection , 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

[41]  Gabriel Thomas,et al.  Segmentation of Wheat Grains in Thermal Images Based on Pulse Coupled Neural Networks , 2007, 2007 IEEE International Conference on Image Processing.

[42]  Yunyoung Nam,et al.  Utilizing venation features for efficient leaf image retrieval , 2008, J. Syst. Softw..

[43]  Nobuo Ezaki,et al.  Detection of Wilt by Analyzing Color and Stereo Vision Data of Plant , 2007, MIRAGE.

[44]  Frank Liu,et al.  A computer vision method to locate cold spots in foods in microwave sterilization processes , 2007, Pattern Recognit..

[45]  Yang Tao,et al.  Food safety inspection using "from presence to classification" object-detection model , 2001, Pattern Recognit..

[46]  Teresa Alvarez,et al.  Detection of phases in sugar crystallization using wavelets , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[47]  Wenhua Mao,et al.  Apple Location Method for the Apple Harvesting Robot , 2009, 2009 2nd International Congress on Image and Signal Processing.

[48]  Guang Zeng,et al.  Rapid automated detection of roots in minirhizotron images , 2010, Machine Vision and Applications.

[49]  S. Gunasekaran,et al.  Three-Dimensional Image Reconstruction Procedure for Food Microstructure Evaluation , 1998, Artificial Intelligence Review.

[50]  Bruce G. Batchelor,et al.  Approaches to foreign body detection in foods , 1998 .

[51]  Ari Visa,et al.  Color-Based Classification of Natural Rock Images Using Classifier Combinations , 2005, SCIA.

[52]  Luis Gómez-Chova,et al.  Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins , 2008, ICIAR.

[53]  Qing Wang,et al.  3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition , 2007, DAGM-Symposium.

[54]  Luca Lombardi,et al.  Autonomous Plant Inspection and Anomaly Detection , 1997, ICIAP.

[55]  Arno Formella,et al.  Pollen classification using brightness-based and shape-based descriptors , 2004, ICPR 2004.

[56]  Grzegorz Cielniak,et al.  Boosting minimalist classifiers for blemish detection in potatoes , 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

[57]  Yung-Sheng Chen,et al.  Leaf Segmentation, Its 3D Position Estimation and Leaf Classification from a Few Images with Very Close Viewpoints , 2009, ICIAR.

[58]  Jean-Louis de Bougrenet de la Tocnaye,et al.  Automatic control of lamellibranch larva growth using contour invariant feature extraction , 1990, Pattern Recognit..

[59]  Frederick M. Waltz,et al.  Intelligent machine vision - techniques, implementations and applications , 2001 .

[60]  Nobuyuki Kita,et al.  Archiving technology for plant inspection images captured by mobile active cameras "4D visible memory" , 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.

[61]  Michel Chapron,et al.  A multiresolution based method for recognizing weeds in corn fields , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[62]  Malgorzata Sowinska,et al.  Watershed and adaptive pyramid for determining the apple's maturity state , 2002, Proceedings. International Conference on Image Processing.

[63]  Ib Frydendal,et al.  Segmentation of sugar beets using image and graph processing , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[64]  Serge J. Belongie,et al.  Object categorization using co-occurrence, location and appearance , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[65]  Zongying Ou,et al.  Inspecting Ingredients of Starches in Starch-Noodle based on Image Processing and Pattern Recognition , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[66]  Qingsheng Liu,et al.  Using Tasseled Cap Transformation of CBERS-02 Images to Detect Dieback or Dead Robinia Pseudoacacia Plantation , 2009, 2009 2nd International Congress on Image and Signal Processing.

[67]  Pilar Carrión,et al.  Classification of honeybee pollen using a multiscale texture filtering scheme , 2004, Machine Vision and Applications.

[68]  Yael Edan,et al.  Computer Image Analysis to Locate Targets for an Agricultural Robot , 1993, CAIP.

[69]  Hanno Scharr,et al.  Root growth analysis in physiological coordinates , 2001, Proceedings 11th International Conference on Image Analysis and Processing.

[70]  Ari Visa,et al.  Classification of Natural Images Using Supervised and Unsupervised Classifier Combinations , 2005, ICIAP.

[71]  Thomas B. Moeslund,et al.  3D Pose Estimation of Cactus Leaves using an Active Shape Model , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

[72]  Kalman Peleg,et al.  Machine identification of buds in images of plant shoots , 2005, Machine Vision and Applications.

[73]  Y. Tao Spherical transform of fruit images for on‐line defect extraction of mass objects , 1996 .

[74]  Maria Luisa Durán,et al.  Recognizing marbling in dry-cured Iberian ham by multiscale analysis , 2002, Pattern Recognit. Lett..

[75]  Filiberto Pla,et al.  Plant tracking-based motion analysis in a crop field , 1995, CAIP.

[76]  Changming Sun,et al.  Thickness measurement and crease detection of wheat grains using stereo vision , 2007, Pattern Recognit. Lett..

[77]  K. Lande,et al.  EFFECTS OF $delta$S = -$delta$Q ON CP-NONCONSERVATION PHENOMENOLOGY IN K$sup 0$ DECAY. , 1968 .

[78]  Yasuhiro Kuwahara,et al.  Scallop Detection from Sand-Seabed Images for Fishery Investigation , 2009, 2009 2nd International Congress on Image and Signal Processing.

[79]  Koichi Wada,et al.  On a Fluency Image Coding System for Beef Marbling Evaluation , 2002, Pattern Recognit. Lett..

[80]  Hongbin Zha,et al.  Image-based plant modeling by knowing leaves from their apexes , 2008, 2008 19th International Conference on Pattern Recognition.

[81]  Bostjan Likar,et al.  Real-time automated visual inspection of color tablets in pharmaceutical blisters , 2003, Real Time Imaging.

[82]  Frederic Truchetet,et al.  Development of a machine vision system for a real time precision sprayer , 2008 .

[83]  Baozong Yuan,et al.  A new image shape analysis approach and its application to flower shape analysis , 2006, Image Vis. Comput..

[84]  Leena Lepistö,et al.  Grain Size Measurement of Crystalline Products Using Maximum Difference Method , 2007, SCIA.

[85]  Wanqing Li,et al.  Description of Evolutional Changes in Image Time Sequences Using MPEG-7 Visual Descriptors , 2005, VLBV.

[86]  Alain Trémeau,et al.  Color segmentation of ink-characters: application to meat tracability control , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[87]  J.L. Pons,et al.  A machine vision system using a laser radar applied to robotic fruit harvesting , 1999, Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS'99).

[88]  Giorgio Grasso,et al.  Localization of spherical fruits for robotic harvesting , 2001, Machine Vision and Applications.

[89]  E. Cernadas,et al.  Automatic detection and classification of grains of pollen based on shape and texture , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[90]  Dejan Seatovic A Segmentation Approach in Novel Real Time 3D Plant Recognition System , 2008, ICVS.

[91]  E. R. Davies,et al.  Design of efficient line segment detectors for cereal grain inspection , 2003, Pattern Recognit. Lett..

[92]  Da-Wen Sun,et al.  Prediction of beef eating qualities from colour, marbling and wavelet surface texture features using homogenous carcass treatment , 2009, Pattern Recognit..

[93]  Shoma Chatterjee,et al.  Anisotropic Diffusion and Segmentation of Colored Flowers , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[94]  Andrew Zisserman,et al.  Delving deeper into the whorl of flower segmentation , 2010, Image Vis. Comput..

[95]  Lucia Ballerini A Simple Method to Measure Homogeneity of Fat Distribution in Meat , 2001 .

[96]  Professor Bruce G. Batchelor,et al.  Intelligent Vision Systems for Industry , 1997, Springer London.

[97]  Hördur Arnarson,et al.  Computer Vision in Food Handling and Sorting , 1993, Handbook of Pattern Recognition and Computer Vision.

[98]  José Luis Pons Rovira,et al.  Automatic fruit recognition: a survey and new results using Range/Attenuation images , 1999, Pattern Recognit..

[99]  Kazuhiko Shiranita,et al.  Grading meat quality by image processing , 2000, Pattern Recognit..

[100]  Gaetano Impoco,et al.  An Interactive Level Set Approach to Semi-automatic Detection of Features in Food Micrographs , 2009, CAIP.

[101]  Guang Zeng,et al.  Detecting and Measuring Fine Roots in Minirhizotron Images Using Matched Filtering and Local Entropy Thresholding , 2006, Machine Vision and Applications.

[102]  Michael Recce,et al.  Video Grading of Oranges in Real-Time , 2004, Artificial Intelligence Review.

[103]  Ashok Samal,et al.  Recognizing plants using stochastic L-systems , 1994, Proceedings of 1st International Conference on Image Processing.

[104]  József Berke,et al.  The Application of Digital Image Processing in the Evaluation of Agricultural Experiments , 1993, CAIP.

[105]  Tosiyasu L. Kunii,et al.  A Hierarchical Method of Recognizing Plant Species by Leaf Shapes , 1998, MVA.

[106]  E. R. Davies,et al.  Image Processing for the Food Industry , 2000, Series in Machine Perception and Artificial Intelligence.

[107]  Pablo García Rodríguez,et al.  Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics , 2005, Comput. Vis. Image Underst..

[108]  Hong-Mei Wang Impact of Magnetic Field on Mung Bean Ultraweak Luminescence , 2009, 2009 2nd International Congress on Image and Signal Processing.

[109]  André Ricardo Backes,et al.  Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis , 2009, CAIP.

[110]  A System for Dynamically Monitoring and Warning Algae Blooms in Taihu Lake Based on Remote Sensing , 2009, 2009 2nd International Congress on Image and Signal Processing.

[111]  Min-Hong Han,et al.  Inspection of 2-D objects using pattern matching method , 1989, Pattern Recognit..

[112]  Burkhard A. Hense,et al.  (Semi-)automatic recognition of microorganisms in water , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[113]  Jon G. Rokne,et al.  State of the Art in the Realistic Modeling of Plant Venation Systems , 2005, Int. J. Image Graph..

[114]  Boris Babenko,et al.  Weakly Supervised Object Localization with Stable Segmentations , 2008, ECCV.

[115]  Zhuoyong Zhang,et al.  Two-Dimensional Mid- and Near-Infrared Correlation Spectroscopy for Rhubarb Identification , 2009, 2009 2nd International Congress on Image and Signal Processing.

[116]  Yunyoung Nam,et al.  A similarity-based leaf image retrieval scheme: Joining shape and venation features , 2008, Comput. Vis. Image Underst..

[117]  M. Zhenjiang Zernike moment-based image shape analysis and its application , 2000 .

[118]  E. H. Hauge TIME CORRELATION FUNCTIONS FROM THE BOLTZMANN EQUATION. , 1972 .

[119]  Nobuyuki Otsu,et al.  On a grading system for beef marbling , 2000, Pattern Recognit. Lett..

[120]  D. H. Lenker,et al.  Characterization of growing lettuce from density contours--II. Statistics , 1981, Pattern Recognit..

[121]  Zheru Chi,et al.  Combined thresholding and neural network approach for vein pattern extraction from leaf images , 2006 .

[122]  Wei Zhang,et al.  Research and Implement of Head Milled Rice Detection High-Speed Algorithm Based on FPGA , 2009, 2009 2nd International Congress on Image and Signal Processing.

[123]  Juha Hyyppä,et al.  Terrestrial Laser Scanning of Agricultural Crops , 2008 .

[124]  José Blasco,et al.  Assessment of citrus fruit quality using a real-time machine vision system , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[125]  R. C. Harrell,et al.  A fruit-tracking system for robotic harvesting , 2005, Machine Vision and Applications.

[126]  Luc Van Gool,et al.  Multi-spectral vision system for weed detection , 2001, Pattern Recognit. Lett..

[127]  Panitnat Yimyam,et al.  2D/3D Vision-Based Mango's Feature Extraction and Sorting , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[128]  Alberto Tellaeche,et al.  A vision-based method for weeds identification through the Bayesian decision theory , 2008, Pattern Recognit..

[129]  Paolo Remagnino,et al.  Venation Pattern Analysis of Leaf Images , 2006, ISVC.

[130]  Hans Burkhardt,et al.  General-purpose object recognition in 3D volume data sets using gray-scale invariants - classification of airborne pollen-grains recorded with a confocal laser scanning microscope , 2002, Object recognition supported by user interaction for service robots.

[131]  Yael Edan,et al.  Design of an autonomous agricultural robot , 2004, Applied Intelligence.

[132]  A. W. G. Duller,et al.  A comparative study of approaches to automatic pollen identification , 1997, BMVC.

[133]  A. Skavhaug,et al.  A Simple Computer Vision Method for Automatic Detection of Melanin Spots in Atlantic Salmon Fillets , 2007, International Machine Vision and Image Processing Conference (IMVIP 2007).

[134]  Tero Aittokallio,et al.  Feature learning with a genetic algorithm for fluorescence fingerprinting of plant species , 2003, Pattern Recognit. Lett..

[135]  Thierry Pun,et al.  3D computer vision for agrotics: the potato operation, an overview , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

[136]  Arno Formella,et al.  A Computer Vision System for Visual Grape Grading in Wine Cellars , 2009, ICVS.

[137]  Zhifeng Zhang,et al.  An Improved Method for Modeling of Leaf Venation Patterns , 2009, 2009 2nd International Congress on Image and Signal Processing.

[138]  Charles T. Morrow,et al.  An automated inspection station for machine-vision grading of potatoes , 2005, Machine Vision and Applications.

[139]  Jens Adler-Nissen,et al.  Temporal reflectance changes in vegetables , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[140]  Guanjun Bao,et al.  A Dynamic Threshold Segmentation Algorithm for Cucumber Identification in Greenhouse , 2009, 2009 2nd International Congress on Image and Signal Processing.

[141]  Filiberto Pla,et al.  An approach to the vision tasks involved in an autonomous crop protection vehicle , 1998 .

[142]  Chia-Ling Lee,et al.  Classification of leaf images , 2006, Int. J. Imaging Syst. Technol..

[143]  Tosiyasu L. Kunii,et al.  Recognizing plant species by leaf shapes-a case study of the Acer family , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[144]  Federico Hahn,et al.  Nobel Chile Japaleño Sorting Using Structured Laser and Neural Networks Classifiers , 1997, ICIAP.

[145]  Andrés Caro,et al.  Thresholding Methods on MRI to Evaluate Intramuscular Fat Level on Iberian Ham , 2005, IbPRIA.

[146]  X. Sun,et al.  A Digital Image Method for Measuring and Analyzing Color Characteristics of Various Color Scores of Beef , 2009, 2009 2nd International Congress on Image and Signal Processing.

[147]  Roland Wilson,et al.  Surface Modelling of Plants from Stereo Images , 2007, Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007).

[148]  Yinhui Zhang,et al.  Automatic Inspection of Tobacco Leaves Based on MRF Image Model , 2007, ISVC.

[149]  Huan Liu,et al.  Active learning for detecting a spectrally variable subject in color infrared imagery , 2004, Pattern Recognit. Lett..

[150]  D. H. Lenker,et al.  Characterization of growing lettuce from density contours--I. Head selection , 1981, Pattern Recognit..

[151]  Bruce G. Batchelor,et al.  Machine Vision for the Inspection of Natural Products , 2013 .

[152]  Michele Merler,et al.  Recognizing Groceries in situ Using in vitro Training Data , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[153]  Roger Davies,et al.  VIP3D - an application of image processing technology for quality control in the food industry , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[154]  Edward R. Vrscay,et al.  Direct Estimation of Biological Growth Properties from Image Data Using the "GRID" Model , 2009, ICIAR.

[155]  Alberto Tellaeche,et al.  Analysis of natural images processing for the extraction of agricultural elements , 2010, Image Vis. Comput..

[156]  S. Gunasekaran,et al.  A Computer Vision Method for Determining Length of Cheese Shreds , 2004, Artificial Intelligence Review.