Automatic image thresholding segmentation based on two-dimensional Maximum Correlation Criterion (MCC) was proposed.
提出了基于二维最大相关准则的自动阈值图像分割算法。
Lastly two-dimensional entropic thresholding was applied to segmentation image, thus microcalcifications were detected and were marked in mammograms.
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。
In the paper, a method of image segmentation by ant colony algorithm based on two-dimensional gray histogram is presented.
提出了一种基于二维灰度直方图的蚁群图像分割方法。
Two dimensional (2 d) entropy method has to pay the price of time when applied to image segmentation.
图像分割方法中的二维熵法的计算时间较长。
Compared with other methods, the algorithm has obvious advantages and it can be applied to all two-dimensional histogram based threshold segmentation methods.
经过和其他算法比较表明，该算法有明显的优越性，可以运用于基于二维直方图的阁值分割中。
A new fuzzy thresholding method of image segmentation is presented which is based on the two-dimensional histogram.
把二维直方图方法应用于模糊门限分割中，提出了一种基于二维直方图的模糊门限分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
The data of experiment shows that the algorithm can separate skin and non-skin regions accurately, and then the result of segmentation is better than method using two-dimensional maximum entropy.
实验数据表明，该算法准确清晰地分割了人脸的皮肤区域与非皮肤区域，且分割效率和效果比单纯使用常用的二维最大熵分割算法更优化。
The data of experiment shows that the algorithm can separate skin and non-skin regions accurately, and then the result of segmentation is better than method using two-dimensional maximum entropy.
实验数据表明，该算法准确清晰地分割了人脸的皮肤区域与非皮肤区域，且分割效率和效果比单纯使用常用的二维最大熵分割算法更优化。
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