1.Key Laboratory of Robot and Welding Automation of Jiangxi Province, School of Mechanical and Electrical Engineering, Nanchang University, Nanchang 330031 2.Department of Computer Science and Technology, School of Information Engineering, Nanchang University, Nanchang 330031
Abstract:An intuitionistic fuzzy model for images based on the HSV color histogram is proposed. The image can be considered as an intuitionistic fuzzy set (IFS) by this model. Similarity measures are originally introduced to express the comparison between two fuzzy sets, and they can be used to reflect the resemblance of images. Experimental results show that the proposed approach can efficiently process queries of an image database in HSV color space and its accuracy rate is 5%~10% higher than those of fuzzy similarity measures and conventional histogram distances.
[1] Konstantinidis K, Gasteratos A, Andreadis I. Image Retrieval Based on Fuzzy Color Histogram Processing. Optics Communications, 2005, 248(4/5/6): 375-386 [2]Chaira T, Ray A K. Fuzzy Measures for Color Image Retrieval. Fuzzy Sets and Systems, 2005, 150(3): 545-560 [3]Ma Li, Chang Faliang, Guo Lizhi. Non-Rigid Target Tracking Based on Color Histogram Matching. Journal of Qingdao Technological University, 2005, 26(5): 79-83 (in Chinese) (马 丽,常发亮,郭立智.基于颜色直方图匹配的非刚性目标跟踪算法.青岛理工大学学报, 2005, 26(5): 79-83) [4]Sun Junding, Zhang Ximin, Cui Jiangtao, et al. A New Approach for Image Retrieval Based on Color and Spatial Features. Computer Science, 2005, 32(6): 158-160,184 (in Chinese) (孙君顶,张喜民,崔江涛,等.一种新的基于颜色和空间特征的图像检索方法,计算机科学, 2005, 32(6): 158-160,184) [5]Chaira T, Ray A K. Region Extraction Using Fuzzy Similarity Measures. Journal of Fuzzy Mathematics, 2003, 11(3): 601-607 [6]Chaira T, Ray A K. Fuzzy Approach for Color Region Extraction. Pattern Recognition Letters, 2003, 12(24): 1943-1950 [7]Vytautas P. Distance Measures for PCA-Based Faced Recognition. Pattern Recognition Letters, 2004, 25(6): 711-724 [8]van der Weken D, Nachtegael M, Kerre E E. Using Similarity Measures and Homogeneity for the Comparison of Images. Image and Vision Computing, 2004, 22(3): 695-702 [9]van der Weken D, Nachtegael M, Kerre E E. Combining Neighborhood-Based and Histogram Similarity Measure for the Design Quality Measure. Image and Vision Computing, 2007, 25(2): 184-195 [10]Li Dengfeng, Cheng Chuntian. New Similarity Measures of Intuitionistic Fuzzy Sets and Application to Pattern Recognition. Pattern Recognition Letters, 2002, 23(1): 221-225 [11]Grzegorzewski P. Distances between Intuitionistic Fuzzy Sets and/or Interval-Valued Fuzzy Sets Based on Hausdorff Metric. Fuzzy Sets and Systems, 2004,148(2): 319-328 [12]Hung W L, Yang M S. Similarity Measures of Intuitionistic Fuzzy Sets Based on Lp Metric. International Journal of Approximate Reasoning, 2007, 46(1): 120-136 [13]Hung W L, Yang M S. Similarity Measure of Intuitionistic Fuzzy Sets Based on Hausdorff Distance. Pattern Recognition Letters, 2004, 25(14): 1603-1611 [14]Chaira T, Ray A K. A New Measure Using Intuitionistic Fuzzy Set Theory and Its Application to Edge Detection. Applied Soft Computing, 2008, 8(2): 919-927 [15]Hearn D, Baker P M. Computer Graphics with Open GL. 3rd Edition. Upper Saddle River, USA: Prentice Hall, 2006 [16]Gagaudakis G, Rosin P L. Incorporation Shape into Histograms for CBIR. Pattern Recognition, 2002, 35(1): 81-91