A Geometry-Distortion Resistant Image Detection System Based on Log-Polar Transform and Scale Invariant Feature Transform

• Main Authors: Yu-wei Chen, 陳昱維
• Other Authors: Shang-lin Hsieh
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/38443904983925420897

碩士 === 大同大學 === 資訊工程學系(所) === 98 === In many image detection systems, the detection results are superior to tamper distortion. However, the geometric distortions rearrange the feature positions, and this property often affects the results of feature comparison. In this thesis, the presented scheme aims at resisting the geometric distortions. The scheme contains the feature construction phase and the comparison phase. In the feature construction phase, the scheme extracts unique features from each protected image based on Log Polar Transform and Scale Invariant Feature Transform. In the comparison phase, the scheme extracts features from the suspect image to compare each protected image. Furthermore, this paper also focuses on similar image identification. There are two types of similar image that the scheme aims. The first type is that there are similar objects in two images. The second type is different view images. These two types of images are serious issue for feature comparison. Hence, this paper presents a scheme to solve this problem.