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- W2317401341 abstract "Lower features content of image are playing a very important role for content based image retrieval. The lower features content of image are color ,texture and shape. Shape finds outliers of object stored in database. The retrieval of image is used in many areas such as multimedia, medical science and internet technology. The semantic gap between query image and result of retrieval image. In this paper we propose a hybrid technique for shape matching based on chain code and DFS tree. Chain code is important and well method for boundary structured detection and DFS is graph searching technique. Here merge both method for detection of boundary pattern and matching of object. Used of DFS technique find the absolute detection of decide edge value of chain code." @default.
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- W2317401341 date "2013-01-01" @default.
- W2317401341 modified "2023-10-04" @default.
- W2317401341 title "A Hybrid Technique for Shape Matching Based on chain code and DFS Tree" @default.
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- W2317401341 doi "https://doi.org/10.9790/0661-1135156" @default.
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