Multi-level Object Description: Color or Texture

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In this study, we propose two descriptors on color and texture for content based segmentation. The descriptors are called “the most similar colors in the same neighborhood” and “the most similar textures in the same neighborhood“, respectively. These descriptors are applied on a multi-level segmentation algorithm proposed by the authors of this study [1]. The segmentation algorithm decomposes the image either based on the color or texture descriptor. Two multi-level trees are generated, each of which consists of homogenous regions with respect to color or texture respectively. The levels of each tree correspond to the complete image of various degrees of detail. While extracting the objects at different sizes and detail, the multi-level tree representation of image avoids finding a universal threshold for image segmentation. By using the proposed color and texture descriptors, the images are segmented into meaningful objects. Various properties of the descriptors are compared and the findings are discussed.

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Multi-level Object Description: Color or Texture

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تاریخ انتشار 2000