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erweishang
- 二维最大熵法和二维最小交叉熵法是目前常用的两种阈值分割方法, 但在某些时候因为两种方法获取的阈 值过高或者过低, 使得分割失效。针对此问题, 提出了基于二维最大熵法和二维最小交叉熵法结合的图像分割方法。 首先, 对二维最小交叉熵公式进行转化 然后, 利用多目标规划理论将这两种方法有机结合使得到的阈值既满足二维 最大熵原则, 又满足二维最小交叉熵原则 最后, 利用二维直方图的特点推导出新型递推算法搜索最佳阈值并降低计 算复杂度。-The thresho ld ing method
threshold-lecture
- Segmentation involves separating an image into regions (or their contours) corresponding to objects. We usually try to segment regions by identifying common properties. Or, similarly, we identify contours by identifying differences between region
imageMorphology
- Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value. Whereas the conventional thresholding operator uses a global th
CE_Upload
- Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value. Whereas the conventional thresholding operator uses a global th
Shaped_Histograms
- Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value. Whereas the conventional thresholding operator uses a global th