Study on Feature Matching System for Container Images

• Main Authors: Guo-Rong Huang, 黃國榮
• Other Authors: Shun-Feng Su
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/3ku95e

碩士 === 國立臺灣科技大學 === 電機工程系 === 99 === In this study, we proposed our method for preventing the current disadvantages (e.g., time wasting and human-made mistakes) by using computer image processing instead of manually done by manpower in the problem of container’s transport processing. Our research focus on defining features for containers and makes matching for checking whether the containers have been destroyed or exchanged. Features matching here is similar to human’s approach by examining the colors and edge amounts of the given containers. Base on the container images, we can preprocess (e.g., vertical projection and oblique projection) those images to extract the container from the whole image. The container image will be segmented into several blocks by considering the proportion of an ordinary container. Then, our proposed method will try to find out the possible features for each block. First of all, the hue feature is considered to deal with the color of a container. Secondly, the pixels number of possible edges after applying edge detection is accumulated. Our approach is to combine and compare these two features to check if there is any significant difference between two designated containers. Base on the experiments we did using our proposed method, the security aspect during shipping and the integrity aspect after arriving of the containers can be ensured.