Color Quantization Based Artificial Bee Colony And Training Tools

Abstract

The new method was proposed in this study, a new method was proposed. The method includes a series of steps. At the beginning of its steps creating k colors by using a clustering algorithm for determining a group of K colors starting from X colors, which are determined randomly by an algorithm k-means, and then comes the method of the artificial bee colony for finding the best colors by comparing the colors suggested in the previous step with the colors resulting from this algorithm for completing the replacement process and issuing the final color palette that depends on it to find the quantized image, and the third step involves using the hybrid approach (K-mean & ABC algorithm) to obtain quantitative images. Thus, It is necessary to have a very quality color palette to rely on it for extracting the desired image, it was found that the outcomes of presented method are able to create quantitative images in less time and of high quality in both metrics results and visual results