Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color texture segmentation using feature distributions
Pattern Recognition Letters
Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Color image segmentation based on edge-preservation smoothing and soft C-means clustering
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
A multichannel watershed-based algorithm for supervised texture segmentation
Pattern Recognition Letters
A color object recognition scheme: application to cellular sorting
Machine Vision and Applications
A fast watershed algorithm based on chain code and its application in image segmentation
Pattern Recognition Letters
Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering
Pattern Recognition Letters
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
A color image segmentation approach for content-based image retrieval
Pattern Recognition
Mining user hidden semantics from image content for image retrieval
Journal of Visual Communication and Image Representation
A System to Segment Text and Symbols from Color Maps
Graphics Recognition. Recent Advances and New Opportunities
Fuzzy mode enhancement and detection for color image segmentation
Journal on Image and Video Processing - Color in Image and Video Processing
Color-texture segmentation using unsupervised graph cuts
Pattern Recognition
New method to assess barley nitrogen nutrition status based on image colour analysis
Computers and Electronics in Agriculture
Color image segmentation using adaptive mean shift and statistical model-based methods
Computers & Mathematics with Applications
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
Cascaded and hierarchical neural networks for classifying surface images of marble slabs
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
Kekre's Fast Codebook Generation algorithm for tumor detection in mammography images
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Color-texture image segmentation by combining region and photometric invariant edge information
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Directional structures detection based on morphological line-segment and orientation functions
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Image-based quality monitoring system of limestone ore grades
Computers in Industry
Intelligent segmentation method for real-time defect inspection system
Computers in Industry
Journal of Biomedical Imaging
Computer Vision and Image Understanding
Tumor demarcation of MRI scan using KMCG vector quantization algorithm
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Engineering Applications of Artificial Intelligence
A hybrid segmentation method applied to color images and 3d information
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
An embedded software-reconfigurable color segmentation architecture for image processing systems
Microprocessors & Microsystems
Eigen combination of colour and texture informations for image segmentation
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Time-frequency analysis of signals using support adaptive Hermite-Gaussian expansions
Digital Signal Processing
A novel model of image segmentation based on watershed algorithm
Advances in Multimedia
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A new method is proposed for processing randomly textured color images. The method is based on a bottom-up segmentation algorithm that takes into consideration both color and texture properties of the image. An LUV gradient is introduced, which provides both a color similarity measure and a basis for applying the watershed transform. The patches of watershed mosaic are merged according to their color contrast until a termination criterion is met. This criterion is based on the topology of the typical processed image. The resulting algorithm does not require any additional information, be it various thresholds, marker extraction rules, and suchlike, thus being suitable for automatic processing of color images. The algorithm is demonstrated within the framework of the problem of automatic granite inspection. The segmentation procedure has been found to be very robust, producing good results not only on granite images, but on the wide range of other noisy color images as well, subject to the termination criterion