Shape Description and Retrieval Using Included-Angular Ternary Pattern
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참고문헌
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초록
Shape description is an important and fundamental issue in content-based image retrieval (CBIR), and anumber of shape description methods have been reported in the literature. For shape description, both globalinformation and local contour variations play important roles. In this paper a new included-angular ternarypattern (IATP) based shape descriptor is proposed for shape image retrieval. For each point on the shapecontour, IATP is derived from its neighbor points, and IATP has good properties for shape description. IATPis intrinsically invariant to rotation, translation and scaling. To enhance the description capability, multiscaleIATP histogram is presented to describe both local and global information of shape. Then multiscale IATPhistogram is combined with included-angular histogram for efficient shape retrieval. In the matching stage,cosine distance is used to measure shape features’ similarity. Image retrieval experiments are conducted on thestandard MPEG-7 shape database and Swedish leaf database. And the shape image retrieval performance of theproposed method is compared with other shape descriptors using the standard evaluation method. Theexperimental results of shape retrieval indicate that the proposed method reaches higher precision at the samerecall value compared with other description method.
Abstract
Shape description is an important and fundamental issue in content-based image retrieval (CBIR), and anumber of shape description methods have been reported in the literature. For shape description, both globalinformation and local contour variations play important roles. In this paper a new included-angular ternarypattern (IATP) based shape descriptor is proposed for shape image retrieval. For each point on the shapecontour, IATP is derived from its neighbor points, and IATP has good properties for shape description. IATPis intrinsically invariant to rotation, translation and scaling. To enhance the description capability, multiscaleIATP histogram is presented to describe both local and global information of shape. Then multiscale IATPhistogram is combined with included-angular histogram for efficient shape retrieval. In the matching stage,cosine distance is used to measure shape features’ similarity. Image retrieval experiments are conducted on thestandard MPEG-7 shape database and Swedish leaf database. And the shape image retrieval performance of theproposed method is compared with other shape descriptors using the standard evaluation method. Theexperimental results of shape retrieval indicate that the proposed method reaches higher precision at the samerecall value compared with other description method.
참고문헌 (15)
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