In recent years implementations of image processing for Machine Vision using LMS Least-Mean-Square PCA Principal-Component-Analysis and SVD Singular-Value-Decomposition in industrial applications are widely performed. This study discusses the significant differentiation of linear function due to an irregularity in one of the data. This study focuses in three cases video enhancement using content-adaptive LMS filters machine vision system for the automatic identification of robot kinematics parameters and visual servo auto-focusing using recursive weighted least-squares for machine vision inspection. In conclusion LMS is a robust tool that can be used to be an appropriate approach for some applications in machine vision.
Machine vision; least square; component analysis; value decomposition; image processing; video enhancement; identification.
: 620.106 4 Hen s
Source article of proceeding the 12th seminar on intelligent technology and its applications