Effective Area Acquisition Algorithm Based on Traditional Scanning Method

fisheye lens has the advantages of short focal length and wide field of vision, and is widely used in medical applications, road traffic, national defense and military and other occasions. This paper addresses the effective error of the fish hole and the long extraction time in the process of lens correction. An effective area acquisition algorithm for edge detection and circular scanning is proposed. First of fisheye image candy edge detection, then use fuzzy threshold method for binary image segmentation, finally combined with the edge detection for radius and the center trajectory diagram, to find the black pixels as the medium, determine the position of the boundary point of an effective area, and then gradually determine the effective area with the legal, regional growth method and traditional linear scanning method, the results show that the algorithm compared with the traditional algorithm of fish eye effective area acquisition, center coordinates and radius error are reduced. Keywords: ： fisheye lens、distortion、effective area extraction、edge detection