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Colors Reduction In Images Using Neural Networks (Kohonen) | ||
| TANMIYAT AL-RAFIDAIN | ||
| Article 3, Volume 27, Issue 78, 2005, Pages 56-69 PDF (434.03 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/tanra.2005.161609 | ||
| Authors | ||
| Alia Al - Arabi; Manar Kashmola | ||
| Abstract | ||
| ً 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 | ||
| colors; neural networks | ||
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