A Resourceful Filtering Technique for Texture Segmentation and Enhancement in Remote Sensing Images Using Morphological Operations

Images are replications of real-world objects. Image enhancement is the method of applying certain changes to an input image. The changes require feedback from a human evaluator of the output resulting image. The target of image enhancement is to improve the quality of the image so that the resultant image is better than the original image. In this paper remote sensing images has been used. Traditional salt and pepper noise is added and removed using median filter. Morphological operations have been implemented in remote sensing images so as to enhance the quality of the image. Enhancement technique is done. Texture segmentation is also implemented using texture filters. Local range and local standard deviation of the images are found using texture filters. Standard deviation filtering of the image gives best result when compared to range filtering.