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gaussianba

于 2014-01-07 发布 文件大小:1KB
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代码说明:

  使用特征差别提取,通过特征差别相减,以去除高斯背景(Using the characteristics of different extraction, the characteristics of different background subtraction, to remove Gauss)

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    2020-09-28 17:57:46下载
    积分:1
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    2020-11-08 10:09:48下载
    积分:1
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    说明:  通过利用“Otsu”方法对图像进行全局阈值分割处理。然后,将灰度图转化成二值图,为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量,并测量标注矩阵中每个标注区域的属性,获得每个标注区域的长度。最后通过寻找每个区域的重心数,即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)
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    积分:1
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    两次利用大津法对图像进行分割,将前景与背景,白色区与背景分割开,并二值化。(Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary.)
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    积分:1
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