期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：14533
DOI：10.15680/IJIRSET.2017.0607273
出版社：S&S Publications
摘要：Image segmentation is the process of grouping an image into units that are consistent with respect to oneor more characteristics. Segmentation in gray images has lot of methods to segment and it has several set of algorithmsto represent it. But the images produce more information in scenes i.e., color images have few numbers of methods tosegment it. So, this paper represent color image segmentation methods in the literature and getting to prepare novelsegmentation method with combined form of masking, filtering and Thresholding methods. Otsu method is one of thebest and classical Thresholding method used in color image segmentation. It uses various combinations of masks toscan over the image to detect the correct boundary. Otsu method divides the segmentation tasks in two or more phasesand provides the results properly. In the same way this paper discusses about RGB color model and fuzzy membershipfunctions method and particularly about the usage of trapezoidal membership function which is used to create maskwith some sort of rules based on RGB values to scan the image with few combinations and include Threshold methodand filtering for further to produce the output image in well enhanced manner. This Research work includes previouswork done through fuzzy logic trapezoidal membership function to detect the edges present in the given input imagewith two different masking properties.
关键词：Segmentation; Fuzzy Logic; Membership Functions; RGB Color Model; Trapezoidal Membership;Function.
