텍스타일 이미지 검색 및 질감 클러스터링

다국어 초록 (Multilingual Abstract)

Although there are many content based image retrieval systems, few systems focus on textile image retrieval and clustering using commercial DBMS. In this research, we developed an textile image retrieval system based on weighted values of texture, color and shape attribute values with user interface feedback using image feature values provided by commercial database system image function. In case of texture retrieval, because users are unable to describe image texture characteristics for retrieval as text, we use a clustering technique displayed on two dimensional screen by their similarities using multidimensional scaling method for easy summarization of textile image textures.

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