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布函數(shù)，就可把矩技術(shù)應(yīng)用于圖像分析中。
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.
綜合考慮圖像的灰度分布和梯度信息，以圖像的邊緣點(diǎn)作為插值點(diǎn)，構(gòu)造一個(gè)自適應(yīng)的閾值曲面。
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.
通過(guò)閾值分割是其最簡(jiǎn)單的技術(shù)，它假設(shè)目標(biāo)和背景是可以分離的。