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ExThreshold

于 2015-05-08 发布 文件大小:1061KB
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  1、读取显示所给PET图像(SE2IM210)。 2、学习imhist函数,画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗(imshow参数),使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值,分割肿瘤区域与正常区域,计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

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