Abstract: Based on timcefficient FASh algorithm, the paper described a fast and robust LOGFASh corner algorithm. Histogram ectualization as one kind of image enhancement was firstly applied to the original image for sharpening useful image information and improving image illumination invariance. "hhen Laplacian of Gaussian operator was convoluted to achieve image guassian smooth and edge enhancement, and also suppress noise in the maximal degree. At last,ESST al- gorithm was applied to produce LOGFAST corners. The new corner detection algorithm not only features with time-ef- ficicnt as FASh algorithm, also has illumination invariant, noise invariant and robust feature. Experiments show that LOGFAST algorithm can achieve a detection time 0. 05s on noised images sized with 640、480. It has the similar detec- tion performance on illuminate variant images and has repeatability 98 percent. Duc to its excellent performance, LOG FASh algorithm can be used in real time video process applications such as intelligent vehicle warning system.

Key words: Laplacian of guassian, FAST, Robust, Corncr dctcction, Imagc cnhanccmcnt