SEGMENTATION USING MASKING METHODS IN COLOUR IMAGES: AN APPROACH

Image segmentation is one of the popular methods in the field of Image processing. It is the process of grouping an image into units that are consistent with respect to one or more characteristics.  Segmentation in gray images has lots of methods and it has several algorithms to represent it. But images giving more information in scenes i.e., colour images have few numbers of methods to segment. So, this paper represent colour image segmentation methods in the literature and getting to prepare novel segmentation method with combined form of masking, thresholding and noise removal methods. Otsu method is one of the best and classical Thresholding method used in colour image segmentation. It uses various combinations of masks to scan over the image to detect the correct boundary. Otsu method divide the segmentation tasks in two or more modules and make the process easily. In the same way this paper discusses about fuzzy membership functions mask to scan the image with few combinations and include noise removal method to produce the output image in well defined manner.