Computational geometry: an introduction
Computational geometry: an introduction
Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Digital Image Processing
Association and Content-Based Retrieval
IEEE Transactions on Knowledge and Data Engineering
An Effective Content-Based Visual Image Retrieval System
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
A Corner-Finding Algorithm for Chain-Coded Curves
IEEE Transactions on Computers
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This paper presents a method of extracting shape and color information from clipart images, then measuring the similarity between different clipart images using the extracted shape and color information. To represent the shape of clipart images, the proposed method expresses the convex and concave aspects of an outline using the ratio of a rectangle. The shape outline is then expressed using a rectangle representation and converted into a chain code. Meanwhile, the color is represented by color values quantized into HSV color coordinate, the location information between the color regions, and the size of the color regions. These color information can more appropriate for representing clipart images, which have a smaller number of colors than nature images. Experimental results showed that the proposed method is superior in expressing shape and color information than previous methods.