Modulated Intensity Gradient and Texture Gradient Based Image Segmentation
نویسنده
چکیده
Image segmentation is currently a prominent topic for both military and commercial researchers. This paper concentrates on the image segmentation based on the combination of modulated intensity gradient and texture gradient. 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. The performance of this method is compared with the available techniques. The proposed system improves the Mean Square Error (MSE), Maximum Error (MAXERR) and Peak Signal to
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