This paper proposes a new image thresholding segmentation method based on universal information law.
提出基于万有信息定律的图像阈值分割方法。
Automatic image thresholding based on the two-dimensional Maximum Correlation Criterion (MCC) is proposed.
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 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。
A new fuzzy membership function is defined in the light of requirements of image thresholding which can overcome the influence on segmentation caused by the classical s function.
算法针对图像阈值化分割的要求构造了一种新的模糊隶属度函数，克服了传统s -函数带宽对分割效果的影响。
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
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