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Conference Paper
Shape based Medical Image Retrieval Method using Irregularity Chain Code Similarity
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- Authors
- Byung K. Jung, Sung Y. Shin, Seong H. Son, Jeong K. Pack
- Issue Date
- 2014-10
- Citation
- Research in Adaptive and Convergent Systems (RACS) 2014, pp.121-125
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we present a s hape based image retrieval method based on chain code representing irregularity of an object. A distinctive chain code is introduced as a main extracted feature of the object. All objects used in this paper are binary object images extracted by well-known classification algorithm, Support Vector Machine (SVM). From these classified binary images, we propose a modified shape based image retrieval method with the unique chain code interpreting irregularity of object. Proposed method is experimented along with known shape based image retrieval method using characteristic point features. The experimental result shows that proposed method exceed matching rate that of conventional contour to centroid triangulation (CTCT) method showing proposed method has higher matching rate.
- KSP Keywords
- Chain code, Classification algorithm, Code Similarity, Experimental Result, Matching rate, Medical Image Retrieval, Support VectorMachine(SVM), binary image, characteristic points, point features, retrieval method