Image segmentation is one of the pre-processing steps required to analyze color images. Image segmentation in RGB space, which is performed by using clustering algorithm, is required long computation time even in small images. Another approach that can he used for image segmentation is the histogram-based approach. However, histogram-based approaches can also be applied to single-channel or gray-scale images. Therefore, a hue-based approach is considered for segmentation in a color image. However, since the hue shows an angular change, it is not possible to use number line based operations. In this study, directional based clustering algorithms are used to solve this problem. The performance of directional based algorithms was measured and compared.