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New approach for image matching using morphological operations

A new and efficient methodology for investigating and studying the problem of estimating the similarity between images is presented in this paper. The new methodology can be applied to the similarity measure of both the binary and gray-scale images. A morphological distance is used to measure the similarity between 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 structure element at each scale to construct the feature vector of each input image. Because the operations involved in morphological processing relate directly to its content, it is compatible with human visual system which is insensitive to some changes on images such as rotation, noise, scale, and filtering also it proves to be more useful than convolution operations in industrial applications for detect identification.