Enhanced Edges Detection from Different Color Space

In this article, a Cellular Automata based method has been introduced to process different types of color images i.e., RGB, HSV, CMYK, and YUV for detecting enhanced edges. Generally, Color models are represented with different channels; to maintain uniformity in the method, the proposed methodology converts the source data into gray scale data. The proposed methodology analysis all the pixels of the source image and maps a threshold. The threshold has been mapped with a range of values. The proposed method is experimented on number of data sets and claim accuracy 87% to 98%.