원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.1
2016.01
pp.51-62
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The traditional image retrieval method is based on single feature retrieval method like color, texture, shape or multi feature weighted fusion method. The retrieval rate of existing methods is not high. This paper presents fusion multi feature image retrieval. Two kinds of feature play a complementary effect in retrieval. Most color feature can not reflect the spatial information of image. Texture is a regional characteristics which contains important spatial information of image. Fusing the color and texture feature can play their respective advantages. At the same time, avoiding the one-sidedness of single feature retrieval. Improving the retrieval accuracy and flexibility well.
목차
Abstract
1. Introduction
2. Dempster-Shafer Evidence Theory
2.1. Frame of Discernment
2.2. Basic Probability Assignment-BPA
2.3. Belief Function
2.4. Plausibility Function
3. The Experiment of Image Retrieval based on Multi Feature DS Evidence Theory Fusion
3.1. Dempster Rule of Evidential Combination
3.2. Experimental Procedure
4. Testing Results and Analysis
4.1. Image Retrieval Algorithm based on More Color Feature Combination
4.2. Image Retrieval Algorithm based on Gabor Texture Feature Combination
4.3. Image Retrieval Algorithm based on Integrated Multi Feature Combination
5. Conclusion
References
1. Introduction
2. Dempster-Shafer Evidence Theory
2.1. Frame of Discernment
2.2. Basic Probability Assignment-BPA
2.3. Belief Function
2.4. Plausibility Function
3. The Experiment of Image Retrieval based on Multi Feature DS Evidence Theory Fusion
3.1. Dempster Rule of Evidential Combination
3.2. Experimental Procedure
4. Testing Results and Analysis
4.1. Image Retrieval Algorithm based on More Color Feature Combination
4.2. Image Retrieval Algorithm based on Gabor Texture Feature Combination
4.3. Image Retrieval Algorithm based on Integrated Multi Feature Combination
5. Conclusion
References
저자정보
참고문헌
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