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 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。
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。
This paper presents a new method for image segmentation via adaptive thresholding.
本文介绍一种新的自适应门限图象分割方法。
Thresholding methods are usual and efficient in image segmentation.
阈值分割是图像分割中的一种常用的有效方法。
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。
Based on maximum relativity criterion, a new thresholding algorithm for image segmentation is proposed which is more simple than the thresholding algorithm based on maximum entropy.
提出了一种基于最大相关准则的图像阈值分割法。该算法比基于最大熵原理的图像分割法更简便。
Based on the representation of three typical thresholding methods for image segmentation and the analysis of their performances, the scope of each method was mentioned.
本文在介绍了三种具有代表性的图像阈值分割法的基础上，通过对它们的性能进行分析比较，给出了这三种阈值分割法的适用范围。
It is shown that the improved DBC approach can convert pavement image to one whose fractal dimension permits simple thresholding for segmentation of pavement cracks.
结果显示差分计盒方法可以将路面图像转换成另一种图像，该图像的分形维数可以把简单的阈值应用到路面裂缝的分割。
To determine the optimal thresholds in image segmentation, a new multilevel thresholding method based on particle swarm optimization (PSO) is proposed in this paper.
为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法。
Thresholding is one of the widely used and efficient techniques for image segmentation in digital image processing.
阈值分割是广泛使用的最为有效的图像分割方法之一。
A algorithm of image segmentation is proposed based on relative entropy selection thresholding and edge detection.
利用相对熵选择阈值和边缘检测提出一种图象分割算法。
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。
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。
Otsu's method (1979) is considered as a good thresholding method for image segmentation.
的阈值化法被认为是一种良好的图象分割方法。
Applying this entropie thresholding algorithm to human liver CT image, the result of segmentation is satisfying.
应用于肝脏CT图象，获得了较为理想的结果。
Applying this entropie thresholding algorithm to human liver CT image, the result of segmentation is satisfying.
应用于肝脏CT图象，获得了较为理想的结果。
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