Title :
Fusion of SVM-Based Microscopic Color Images Through Colorimetric Transformation
Author :
Charrier, Christophe ; Lebrun, Gilles ; Lezoray, Olivier
Author_Institution :
Vision & Image Anal. Group, Caen Basse-Normandie Univ.
Abstract :
A tool for diagnosis assistance by automatic segmentation of microscopic cellular images is introduced. This method is based on an automatic segmentation technique combining (with the Dempster-Shafer rule) the results obtained by support vector machines (SVM) applied within different color spaces. This combination is performed by integrating uncertainties and redundancies for each color space. Those uncertainties are computed as a posteriori probabilities according to the SVM obtained results. An improvement of the final segmentation quality is performed by taking into account the inconsistencies of several pixel classifications
Keywords :
cellular biophysics; image classification; image colour analysis; image resolution; image segmentation; medical image processing; microscopy; support vector machines; Dempster-Shafer rule; SVM-based microscopic color images; automatic segmentation; colorimetric transformation; microscopic cellular images; pixel classifications; posteriori probabilities; support vector machines; Image color analysis; Image segmentation; Kernel; Microscopy; Risk management; Statistical learning; Support vector machine classification; Support vector machines; Training data; Uncertainty;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660542
