Content Based Image Retrieval System by Hierarchical Color Image Region Segmentation

• Main Authors: Cho, Shun-Wen, 卓舜文
• Other Authors: Chiou-Shann Fuh
• Format: Others
• Language: en_US
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/03158447855834360270

碩士 === 國立臺灣大學 === 資訊工程學系研究所 === 86 === Digital image databases are becoming more and more popular. Finding images in large databases becomes a problem. In the past, due to the nature of image, we usually just can associate some data, such as the title, or keywords, with an image, and query images by these metadata. This is not a perfect way. Because the quality of these metadata heavily depend on the creator, querying by content of the image is a better approach and an important topic of research. In this thesis, we propose a model of content based image retrieval system by our novel hierarchical color region segmentation. We retain the hierarchical relationship of the regions in an image during segmentation. Using the information of the relationships and features of the regions, we can represent the desired objects in images more accurately. In retrieval, we compare not onlyregion features but also region relationships.