Based on maximum between-cluster variance method and uniformity measure, this paper USES maximum entropy principle to select the gray-level threshold value for image segmentation.
在最大类间方差法和一致性准则法的基础上，运用最大熵原理来选择灰度阈值对图像进行分割。
This algorithm set threshold to distinguish impulse noise point, through variance rate of gray level. The information of every impulse noise point is noted in a array.
该算法通过灰度变化率设置阈值判别脉冲噪声点，并将脉冲噪声点信息记录到与图像对应的噪声记录数组中。
It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region, the threshold segmentation is applied to improve the edge of segmented region.
为了提取局部感兴趣区域，给出了一种基于灰度层共现矩阵的区域增长算法，分割出病灶区域，再结合迭代阈值算法进行病灶边界的磨合。
The threshold methods of image segmentation are surveyed in this article, especially those based on the gray level histogram.
本文对现有的各种图像阈值分割方法进行综述，重点介绍了基于图像灰度直方图的阈值分割方法。
The original gray level image was changed into the macroscopical drawing information by pre-processing, threshold selection, image bivalency, edge detection and contour extraction and segmentation.
对原始数字图像实施预处理、二值化、轮廓提取及细化等处理后，将图像信息转变成宏观图形信息。
This paper presents an algorithm for threshold employing gray level arithmetic mean based on relevant conception in probability theory.
给出了一种基于图象灰度分布统计特征期望值为阈值的二值化方法。
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
Non-texture images usually have simple content, and can be properly segmented by gray level threshold.
根据所适用的分割算法的不同，我们将林林总总的图像简单的分为纹理图像和非纹理图像。
Non-texture images usually have simple content, and can be properly segmented by gray level threshold.
根据所适用的分割算法的不同，我们将林林总总的图像简单的分为纹理图像和非纹理图像。
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