Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 2,
  • Issue 7,
  • pp. 383-385
  • (2004)

Hepatic CT image query using Gabor features

Not Accessible

Your library or personal account may give you access

Abstract

A retrieval scheme for liver computerize tomography (CT) images based on Gabor texture is presented. For each hepatic CT image, we manually delineate abnormal regions within liver area. Then, a continuous Gabor transform is utilized to analyze the texture of the pathology bearing region and extract the corresponding feature vectors. For a given sample image, we compare its feature vector with those of other images. Similar images with the highest rank are retrieved. In experiments, 45 liver CT images are collected, and the effectiveness of Gabor texture for content based retrieval is verified.

© 2005 Chinese Optics Letters

PDF Article
More Like This
Pinhole detection in steel slab images using Gabor filter and morphological features

Doo-chul Choi, Yong-ju Jeon, Jong Pil Yun, and Sang Woo Kim
Appl. Opt. 50(26) 5122-5129 (2011)

Intravital two-photon imaging and quantification of hepatic steatosis and fibrosis in a live small animal model

Jieun Moon, Jehwi Jeon, Eunji Kong, Sujung Hong, Jingu Lee, Eun Kyung Lee, and Pilhan Kim
Biomed. Opt. Express 12(12) 7918-7927 (2021)

Hyperspectral remote sensing image retrieval system using spectral and texture features

Jing Zhang, Wenhao Geng, Xi Liang, Jiafeng Li, Li Zhuo, and Qianlan Zhou
Appl. Opt. 56(16) 4785-4796 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved