Spatial representation of object location for image matching in CBIR
نویسنده
چکیده
At present a great deal of research is being done in different aspects of Content-Based Image Retrieval (CBIR). Representation of graphical object location in an image is one of the important tasks that must be dealt with in image DB as an intermediate stage prior to further image retrieval. The issue we address is the principal component analysis (PCA) applied to spatial representation of object location. We propose how to describe the object’s spatial location to use it later in the search engine for image comparison. In this paper, we present the promising results of image retrieval based on the number of objects in images, object spatial location and object similarity.
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