提出了基于二维最大相关准则的自动阈值图像分割算法。
Automatic image thresholding segmentation based on two-dimensional Maximum Correlation Criterion (MCC) was proposed.
最后利用二维最大熵阈值分割对图像二值化，从而检测出微钙化点并在图像上标识出来。
Lastly two-dimensional entropic thresholding was applied to segmentation image, thus microcalcifications were detected and were marked in mammograms.
提出了基于二维直方图的最大相关准则自动阈值图像分割算法。
Automatic image thresholding based on the two-dimensional Maximum Correlation Criterion (MCC) is proposed.
文章从模式识别的分类理论出发，提出了改进的二维类间方差的多门限阈值石块分割方法。
In the paper, firstly, using the classification theory in pattern recognition, approach of multithreshold stone image segmentation based on improved 2D class variance is presented.
首先，采用分块二维熵图像阈值法进行蜡晶图像的自动阈值分割；
The 2D entropy threshold method was used to segment the wax crystal images.
首先，采用分块二维熵图像阈值法进行蜡晶图像的自动阈值分割；
The 2D entropy threshold method was used to segment the wax crystal images.
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