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。
Remote sensing images indicate the physical objects with different attributes and their distribution through pixel gray value differences and the level of spatial variation.
遥感图像通过像元灰度值的高低差异和空间变化来表示不同属性的地物目标及其分布情况。
The characteristics of low light level (LLL) image were analyzed in aspects of imaging process gray level distribution and correlativity of picture element in space and time of LLL image.
从微光图像的成像过程、灰度分布和像素空间与时间相关性等几个方面对微光图像特征作较系统的分析。
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