A comparative between corner-detectors (Harris, Shi-Tomasi and FAST)‎ in images noisy using non-local means filter

Abstract EN

A comparative study was conducted in this paper , between three algorithms which (Harris , Shi-Tomasi , FAST ) interested-points detection to identified the features that required to match , recognize and track objects in images noisy .

Detect the interested-points in image noisy one of the most challenges in field of image processing .

The noise consider the main cause for damage the natural images during the acquisition and transition , and detect the interested-points of these images doesn’t give the desired results , so eliminating noise from this images is very important , Non-local means approach is applied for solve this problem .