24th International Conference on Distributed Computing Systems Workshops - W1: MNSA (ICDCSW'04) A Study of Shape-Based Image Retrieval Hachioji, Tokyo, Japan March 23-March 24 ISBN: 0-7695-2087-1
Content-based image retrieval (CBIR) work includes feature selection, object representation, and matching. If a shape is used as feature, edge detection might be the first step to extract that feature. Invariance to translation, rotation, and scale is required by a good shape representation. Sustaining deformation contour matching is an important issue at the matching process. In this paper, an efficient and robust shape-based image retrieval system is proposed. We use the Prompt edge detection method [18] to detect edge points, which is compared with the Sobel edge detection method. We also introduce a shape representation method, the mountain-climbing sequence (MCS), that is invariant to translation, rotation, and scale problems. The results of our proposed method show a superior matching ratio even in the presence of a modest level of deformation.
Citation:
Hwei-Jen Lin, Yang-Ta Kao, Shwu-Huey Yen, Chia-Jen Wang, "A Study of Shape-Based Image Retrieval," icdcsw, vol. 1, pp.118-123, 24th International Conference on Distributed Computing Systems Workshops - W1: MNSA (ICDCSW'04), 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||