Fast image matching using multi-level texture descriptor

Hui Fuang Ng, Chih Yang Lin, Tatenda Muindisi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

At present, image and video descriptors have been widely used in many computer vision applications. In this paper, a new hierarchical multiscale texture-based image descriptor for efficient image matching is introduced. The proposed descriptor utilizes mean values at multiscale levels of an image region to convert the image region to binary bitmaps and then applies binary operations to effectively reduce the computational time and improve noise reduction to achieve stable and fast image matching. Experimental results show high performance and robustness of our proposed method over existing descriptors on image matching under variant illumination conditions and noise.

Original languageEnglish
Title of host publication2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9786163618238
DOIs
StatePublished - 12 Feb 2014
Event2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
Duration: 9 Dec 201412 Dec 2014

Publication series

Name2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Conference

Conference2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Country/TerritoryThailand
CityChiang Mai
Period9/12/1412/12/14

Fingerprint

Dive into the research topics of 'Fast image matching using multi-level texture descriptor'. Together they form a unique fingerprint.

Cite this