An improved method for image thresholding based on the valley-emphasis method

Hui Fuang Ng, Davaajargal Jargalsaikhan, Hao Chuan Tsai, Chih Yang Lin

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

19 Scopus citations

Abstract

Thresholding is an important technique for image segmentation that extracts a target from its background on the basis of the distribution of gray levels. Many automatic threshold selection methods such as Otsu method provide satisfactory results for thresholding images with obvious bimodal gray level distribution. However, most threshold selection methods fail if the histogram is unimodal or close to unimodal. Valley-emphasis method partially resolves such problem by weighting the objective function of the Otsu method with the valley point in the histogram. In this study, we proposed an approach for improving the valley-emphasis method for optimal threshold selection by introducing a Gaussian weighting scheme to enhance the weighting effect. Experimental results indicate that the proposed method provides better and more stable thresholding results.

Original languageEnglish
Title of host publication2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOIs
StatePublished - 2013
Event2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, Taiwan
Duration: 29 Oct 20131 Nov 2013

Publication series

Name2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Conference

Conference2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Country/TerritoryTaiwan
CityKaohsiung
Period29/10/131/11/13

Fingerprint

Dive into the research topics of 'An improved method for image thresholding based on the valley-emphasis method'. Together they form a unique fingerprint.

Cite this