In this paper, a new approach for image segmentation ,which was basedon fuzzy clustering and fast two dimensional thresholding, was proposed and implemented.
提出了一种将快速二维阈值化与模糊聚类相混合的图象分割方法，以进一步减少快速二维阈值分割中的噪声与错误分割。
参考来源 - 基于二维阈值化与FCM相混合的图象快速分割方法 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
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