원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.2
2016.02
pp.339-354
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Animal image recognition, classification and retrieval from a database based on shape features are of research interest in image processing. This paper proposes a combined graph and texture based approach for recognition of animal contour images. The methodology uses texture features of the complete graph image obtained from the contour of an object. MPEG-7 database is used for testing. The recognition accuracy of 96% is achieved and is an improvement over the state-of-the-reported results. The work has potential applications in image retrieval from databases.
목차
Abstract
1. Introduction
2. Literature Survey
3. Methodology
3.1. Model for the Proposed Work
4. Experimental Results
4.1. Living and non-living groups
4.2 Similar and Dissimilar Animals
4.3. Combinations of Similar and Dissimilar Groups
4.4. Evaluation of Accuracy
4.5. Color Experimentation
4.6. Comparison with other Approaches
5. Conclusion
References
1. Introduction
2. Literature Survey
3. Methodology
3.1. Model for the Proposed Work
4. Experimental Results
4.1. Living and non-living groups
4.2 Similar and Dissimilar Animals
4.3. Combinations of Similar and Dissimilar Groups
4.4. Evaluation of Accuracy
4.5. Color Experimentation
4.6. Comparison with other Approaches
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보