Abstract
In industrial image applications, a template matching method that can search a target image area in an objective image is often applied. This paper proposes a method to search a target image area with higher reliability even if a wide part of the image area is occluded. In the proposed method, a registered template image is separated into multiple block areas and an image pattern in each block is matched with an objective image. In the searching process, a weight that means a useful factor of a block area for searching is given to each block area. The total correlation rate between a template image and a partial image area in an objective image is calculated by the weighted correlation rates of all block areas. The proposed method was able to search all target image areas until 80% occlusion rate and recorded 100% recognition rate
