Abstract
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This research uses a method based on Self-Organizing Feature Maps (SOFM) neural
network. The (SOFM) is competitively trained according to the kohonen learning
algorithm.
After training, the output neurons of the (SOFM) define proper classes of colors that
best define the image by using Manhattan distance instead of the traditional Euclidean
distance. Next each pixel is compared with resulted colors. Then each pixel is redrawn
according the new colors
In order to reduce the size of the image a transformation was made from (True Type) to (8
Bit).
Also an enhancement has been made on the resulted image to hide some side affects
resulted from the color reduction operation.
The research was applied on colored and Gray level images.
Keywords