This work presents the development of a rotation and translation invariant 2-dimensional image detection system using an unsupervised morphological neural network. Utilizing the translation invariance property of the operators of Mathematical Morphology, it is suggested a morphological pattern-matching mechanism based on the comparison between the input image and a set of rotated structuring elements, making possible rotation and translation invariant pattern detection by use of rotational

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... ts applied to morphological neurons. A series of experiments were done using binary and gray scale images.