gray-level distribution

基本解释

The use of moments for image analysis is straightforward if we consider a binary or gray level image segment as a two-dimensional density distribution function.
若把二值图或灰度图看作是二维密度分布函数，就可把矩技术应用于图像分析中。
On the basis of integrating gray-level distribution and gradient information, we use boundary points as known data to interpolate the adaptive threshold surface of the image.
综合考虑图像的灰度分布和梯度信息，以图像的边缘点作为插值点，构造一个自适应的阈值曲面。
Image segmentation by thresholding is the simplest technique and involves the basic assumption that objects and background in the digital image have distinct gray-level distribution.
通过阈值分割是其最简单的技术，它假设目标和背景是可以分离的。