Paper
21 November 1995 Adaptive color histogram indexing
Vincent T. Y. Ng, David W. Cheung, Ada Wai Chee Fu
Author Affiliations +
Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227243
Event: Photonics East '95, 1995, Philadelphia, PA, United States
Abstract
In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vincent T. Y. Ng, David W. Cheung, and Ada Wai Chee Fu "Adaptive color histogram indexing", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227243
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Skin

Databases

Image retrieval

Image processing

Medical imaging

Tolerancing

Image segmentation

RELATED CONTENT

Multimodal browsing of images in Web documents
Proceedings of SPIE (January 07 1999)
Content-based image retrieval and high-level representations
Proceedings of SPIE (December 20 2001)
Case for image querying through image spots
Proceedings of SPIE (January 01 2001)
Image browsing for feature-based products
Proceedings of SPIE (August 30 2002)
ImageSeeker: a content-based image retrieval system
Proceedings of SPIE (January 19 2009)

Back to Top