An improved SUSAN algorithm for the electronic image stabilization of the UAV video image

摘要

A new image comer detection algorithm is proposed in this paper based on the SUSAN algorithm for the electronic image stabilization of the UAV video image Through analyzing the gray characteristics of the image of the UAV, the new algorithm changed the judge criteria of the SUSAN corner detection algorithm to increase the accuracy and velocity of the image processing. The basic steps of the algorithmic show as follow: First, the correct threshold is decided using the gray characteristic. Second, comparing the one pixel with the eight neighborhood pixels, the elementary direction of corner is acquired. Last, a corner is acquired through calculating the number of the congener pixels based on these new directions. Using this new algorithm the corners should be detected fast and efficiently. Experimental results of the UAV video image processing show that the new method can highly increase computational velocity. Consequently the proposed algorithm meets the need for real-time image processing.