الفهرس Only 14 pages are availabe for public view
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Abstract
Image matching usage morphological operations is a research point that combines the pattern recognation and image morphological processing which can successfully be used in pattern classification tasks. A technique for investigating and studying the problem of estimating the similarity between images is presented in this thesis. The proposed technique is applied to the similaeity measure of both the binary gray scal images. The shape representation for this new method utilizes morphological image opening and closing of the input image at different scales of a primary and rotated structuring elements. The areas of the opened and closed images are computed for each scale of the structuring element to construct the feature vector of each input image. This feature vector is called morphological descriptor.
The drawback of shap representation techniques based on processing signale complex shape is that the extraction of complex shape preperties may not be efficient. So, the proposed shape represntation technique described is based on the decomposition of a complex shape to multiple simple signature shape. The idea of processign the original shape