Image Colour Segmentation by Genetic Algorithms

@misc{citeulike:407642, abstract = {Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum number of segmentation areas in an image when it contains similar and/or unstationary texture fields. In this work, a method is described for evolving adaptive procedures for these problems. In many real world applications data clustering constitutes a fundamental issue whenever behavioural or feature domains can be...}, author = {Ramos, V. and Muge, F. }, citeulike-article-id = {407642}, keywords = {algorithms, evolutionary-computation, genetic\_algorithms, image\_analysis, image\_processing, pattern\_recognition, recognition, segmentation}, posted-at = {2005-11-24 18:27:17}, priority = {0}, title = {Image Colour Segmentation by Genetic Algorithms}, url = {http://citeseer.ist.psu.edu/ramos00image.html}, year = {2000} }

TY - GEN ID - citeulike:407642 L3 - citeulike-article-id:407642 TI - Image Colour Segmentation by Genetic Algorithms N2 - Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum number of segmentation areas in an image when it contains similar and/or unstationary texture fields. In this work, a method is described for evolving adaptive procedures for these problems. In many real world applications data clustering constitutes a fundamental issue whenever behavioural or feature domains can be... KW - algorithms KW - evolutionary-computation KW - genetic_algorithms KW - image_analysis KW - image_processing KW - pattern_recognition KW - recognition KW - segmentation AU - Ramos, V AU - Muge, F PY - 2000/// UR - http://citeseer.ist.psu.edu/ramos00image.html ER -