This paper presents texture image segmentation based on the combination of phase correlation and region growing algorithm. Image segmentation is an integral part of image analysis. In image processing different processes are done on images to enhance it at different parameters. These processes are not directly applied on images but before that it needs to be segmented or divided in smaller parts called pixels or small blocks of pixels. So segmentation becomes an integral and basic part in image analysis and error at this stage can influence other processing techniques. As in this paper three algorithm are developed on two different dimensions for two class images. Phase correlation is used to find similarities in the windows of pixels which are of size 16x16. Similar and different pixel or pixel blocks are decided by the threshold value of the phase correlation result to find out which pixel falls into the same segments and which is not.