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A new method for image compression based on morphological associative memories (MAMs) is presented. We used the MAM to implement a new image transform and applied it at the transformation stage of image coding, thereby replacing such traditional methods as the discrete cosine transform or the discrete wavelet transform. Autoassociative and heteroassociative(More)
In this paper, a grayscale image segmentation algorithm based on Extended Associative Memories (EAM) is proposed. The algorithm is divided into three phases. First, the uniform distribution of the image pixel values is determined by means of the histogram technique. The result of this phase is a set of regions (classes) where each one is grouped into a(More)
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