Object Detection by Using Two Stage Template Matching Method

• Main Authors: Jia-WeiLuo, 羅家偉
• Other Authors: Yen-Tai Lai
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/25932099490330764095

碩士 === 國立成功大學 === 電機工程學系碩博士班 === 98 === Template matching is an early developed image matching approach which can be used to find the part of interest in the scene image. It can be used in manufacturing as a part of quality control, mobile robot navigation, or edge detection in images. The conventional matching process is measuring the similarity between the template image and the sub-image at every possible position on the scene image. However, if the rotation and scaling problems are involved, the conventional matching method is not suitable. In this thesis, a two stage template matching method is proposed. The first stage selects pixels with high possibility to be the correct match as candidate positions by using the ring projection and multi-template matching method. The second stage provides a further inspection to improve the matching precision in the real scene images. The proposed method is much faster than the conventional one and the results of object detection are invariant to rotation and scaling problems.