image grey-scale

基本解釋

Methods Without the priori knowledge, using the image grey-scale average method (IAM) to implement multi-group experiments.
方法在無(wú)需先驗(yàn)知識(shí)的情況下，利用IAM 方法進(jìn)行多組實(shí)驗(yàn)。
In this paper, the principle of solving multiplication of two grey scale image and continuous grey scale image by four-mirrors closed loop feedback system are given.
本文提出了利用四反射鏡環(huán)形反饋系統(tǒng)對(duì)二灰階物和連續(xù)灰階物進(jìn)行消乘積工作的原理；
For regions with high grey-scale level or with tensely variable grey level, the image enhancement coefficients shall be adaptively controlled based on local mean value and variance.
針對(duì)圖像中的高灰度區(qū)和灰度劇變區(qū)，應(yīng)用圖像局部均值和方差自適應(yīng)調(diào)節(jié)增強(qiáng)系數(shù)。