gray-level distribution

基本解釋

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.
若把二值圖或灰度圖看作是二維密度分佈函數(shù)，就可把矩技術(shù)應用於圖像分析中。
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.
綜郃考慮圖像的灰度分佈和梯度信息，以圖像的邊緣點作爲插值點，搆造一個自適應的閾值曲麪。
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.
通過閾值分割是其最簡單的技術(shù)，它假設(shè)目標和背景是可以分離的。