Otsu algorithm combined with the region growing me
2016-08-23
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Can not grow, a maximum between class variance method is based on threshold segmentation algorithm to obtain the appropriate threshold value, and then to the threshold the image binary, greater than this threshold is normalized to 1, less than the threshold value is 0, so that formed a picture of binary image. In short, it is the image of a pretreatment of image gray level re planning, and growth is based on predefined criteria & nbsp; to be a single pixel to a region), and the growth properties similar to those of adjacent pixels or regions and growing point of merger, the formation of a new growth point, repeat this process until now. Similar properties can be the criterion of gray value, growth point and adjacent areas of the texture, color and other image information. In this paper, the gray difference criterion, so the combination of both can make the target accurately and clearly from the background segmentation. In this paper, the method of maximum classes algorithm combining va
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