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25 September 1998 Detecting multicolored object in image by content
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Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998)
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China
Efficient content-based retrieval of complex image is a challenging task since the queried object may appear in various scale, rotation and orientation with a wide variety of background colors and forms. We propose a novel method of detecting multi-colored object in image by content. Color component and spatial relationship are two important contents of image. With color feature based on hue histogram of HSV color space, we try to combine similar color pixels to a more homogeneous color component by adopting multilevel thresholding method based on the fourth central moment. And then, we use the extended color adjacency graph (ECAG) to describe a multi-colored object. ECAG consists of a set of nodes and two sets of edges. Each node represents a single color component of multi-colored object, while edges are divided into two classes: edges representing adjacency between similar color components and those between different color components. By investigating whether ECAG of object is the subgraph of ECAG of an image, we can detect whether the similar object exists in the image. Experimental results show this representation of object to be invariant to scale and rotation.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuehu Liu, Sumei Guo, and Shinji Ozawa "Detecting multicolored object in image by content", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998);


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