Paper
19 December 2001 Novel image retrieval technique using salient edges
Author Affiliations +
Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451117
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
The rapidly increasing usage of multimedia environments has led to a greater demand for image retrieval. In this paper, we propose a method for image database retrieval based on salient edges. It achieves both the desired efficiency and accuracy using a three-stage: in the first stage, we extract edge points from the original image and link them to edge curves; in the second stage, we select salient edges according to their lengths, and com*pute rotational angle histogram (RAH) and corners' average frequency (CAF) for every salient edge; in the last stage, a feature vector is generated based on those RAHs and CAFs. We have tested this technique using an image database containing more than 4000 images and all results show that our scheme can perform retrieval efficiently. When an image database is on the order of tens of thousands of images, suitable indexing methods become critical for efficient query processing. This paper also present a new indexing method called tree structured triangle inequality (TSTI), which combines triangle inequality indexing method with tree structured indexing technique. The experiments provide evidence that our proposed method can improve the retrieval speed but not reduce its accuracy.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
JunWei Han, Jungong Han, and Lei Guo "Novel image retrieval technique using salient edges", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451117
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Databases

Image retrieval

Distance measurement

Feature extraction

Image segmentation

Image filtering

Image processing

RELATED CONTENT


Back to Top