Abstract: In view of the traditional threshold segmentation algorithm, the choice of threshold number has important effect to the result of color image segmentation. We present an unsupervised JND color image segmentation based on firefly algorithm. First, getting samples from the inputing image, we obtain the neighborhood information of the center pixel and automatically obtaining the supervised pixel information. Then, use the firefly algorithm with the supervised pixel information to select the suitable threshold for color image informentation and use the index to evaluate the segmentation performance, such as the peak signal-to-noise ratio and the probability edge information. The performance of color image is segmented by introducing the theory of just noticeable difference, firefly algorithm. Moreover, the robustness of the algorithm is greatly improved.

Key words:  firefly algorithm, just noticeable difference, neighborhood information, image segmentation