According to the characteristics of the computer image used in algorithm measurement,an image matching algorithm was presented,which is a correlation matching algorithm under epipolar line based on multi-resolution.

A fast image correlation matching algorithm is put forward for low contrast TV image sequence of a ship s target using genetic algorithms.

Traditional image correlation matching algorithm works under a pure translation model and would face difficulty when dealing with a more general motion model where either scaling or rotation of the matched images is present.

This paper describes one of the main problems of image-based correlation tracking systems,and proposes a new solution of using modified MCD correlation matching and adaptive modal modification based on multiple frame cumulation.

Traditional correlative matching algorithm is too slow to meet the real time requirement.

A fusion method of structured light data based on correlative matching is proposed.

The algorithm combines adaptive tilt- ering and replica correlator(or matched filter processing)technology.

To solve the problem,a new method of simplitied PCNN image segmentation is proposed based on maximum cross correlation matching.