Báo cáo hóa học: " Research Article Colour Image Segmentation Using Homogeneity Method and Data Fusion Technique"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Colour Image Segmentation Using Homogeneity Method and Data Fusion Technique | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 367297 11 pages doi 2010 367297 Research Article Colour Image Segmentation Using Homogeneity Method and Data Fusion Techniques Salim Ben Chaabane 1 Mounir Sayadi 1 2 Farhat Fnaiech 1 2 and Eric Brassart2 1SICISI Unit High school of sciences and techniques of Tunis ESSTT 5 Av. Taha Hussein 1008 Tunis Tunisia 2 Laboratory for Innovation Technologies LTI-UPRES EA3899 Electrical Power Engineering Group EESA University ofPicardie Jules Verne 7 rue du Moulin Neuf 80000 Amiens France Correspondence should be addressed to Salim Ben Chaabane ben_chaabane_salim@ Received 17 December 2008 Revised 25 March 2009 Accepted 11 May 2009 Recommended by João Manuel R. S. Tavares A novel method of colour image segmentation based on fuzzy homogeneity and data fusion techniques is presented. The general idea of mass function estimation in the Dempster-Shafer evidence theory of the histogram is extended to the homogeneity domain. The fuzzy homogeneity vector is used to determine the fuzzy region in each primitive colour whereas the evidence theory is employed to merge different data sources in order to increase the quality of the information and to obtain an optimal segmented image. Segmentation results from the proposed method are validated and the classification accuracy for the test data available is evaluated and then a comparative study versus existing techniques is presented. The experimental results demonstrate the superiority of introducing the fuzzy homogeneity method in evidence theory for image segmentation. Copyright 2010 Salim Ben Chaabane et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Image segmentation is considered as an important basic operation for meaningful analysis .

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