Image segmentation based on SVM-true color image s
2016-08-23
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Image segmentation is an important part of image processing and image analysis is the first step. The purpose of segmentation is to extract the target of interest from an image. Many scholars at home and abroad have been proposed to solve this problem a variety of image segmentation methods, but these methods are not able to apply generally to all different kinds of images, so the segmentation method is only valid for the particular image. Support vector machine (SVM) is a classification method based on statistical learning theory, is now widely used in a number of areas, such as pattern recognition, classification, segmentation, etc. Support vector machine classification algorithm is a generalization of a very strong, so, the SVM algorithm used in image segmentation has become a common trend, and to receive a good result. Image segmentation method based on SVM classification is the essential idea, which uses gray pixels in the image or other characteristics as attributes of the traini
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