Invariant Matching of Texture for Content-Based Image Retrieval

نویسندگان

  • Wee Kheng Leow
  • Yong Lai
چکیده

Texture-based image retrieval is a very di cult task, especially for retrieving images of natural scene. Such images contain multiple texture patterns that may vary in intensity, scale, and orientation but still look the same to humans. Existing methods have been successful in retrieving images that contain single uniform texture but their performance deteriorates when retrieving natural scene images. This article presents an invariant texture matching method that can retrieve images containing texture patterns that di er in intensity, scale, and orientation from the query texture. Experimental results show that the invariant method performs better than existing methods especially in retrieving natural scene images.

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تاریخ انتشار 1999