TY - JFULL AU - Osama Mohamed Elrajubi and Idris El-Feghi and Mohamed Abu Baker Saghayer PY - 2014/7/ TI - Hit-or-Miss Transform as a Tool for Similar Shape Detection T2 - International Journal of Computer and Information Engineering SP - 992 EP - 996 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9998573 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 90, 2014 N2 - This paper describes an identification of specific shapes within binary images using the morphological Hit-or-Miss Transform (HMT). Hit-or-Miss transform is a general binary morphological operation that can be used in searching of particular patterns of foreground and background pixels in an image. It is actually a basic operation of binary morphology since almost all other binary morphological operators are derived from it. The input of this method is a binary image and a structuring element (a template which will be searched in a binary image) while the output is another binary image. In this paper a modification of Hit-or-Miss transform has been proposed. The accuracy of algorithm is adjusted according to the similarity of the template and the sought template. The implementation of this method has been done by C language. The algorithm has been tested on several images and the results have shown that this new method can be used for similar shape detection. ER -