DocumentCode
2516099
Title
Threshold Selection Using Maximum Autocorrelation Principle
Author
Wang, Qian
Author_Institution
Sch. of Inf. & Safety Eng., Zhongnan Univ. of Econ. & Law, Wuhan, China
fYear
2011
fDate
5-6 Nov. 2011
Firstpage
281
Lastpage
284
Abstract
The threshold selection method for image segmentation presented here is based on maximum autocorrelation principle. The optimal threshold value is determined by maximizing the autocorrelation measure. The predominance of our method is using both gray similarity and spatial continuity in object and background region of the image. The effectiveness of the thresholding results are demonstrated by its performance on some categories images.
Keywords
image segmentation; gray similarity; image segmentation; maximum autocorrelation principle; spatial continuity; threshold selection; Correlation; Entropy; Image segmentation; Mathematical model; Pipelines; Shape; Vectors; auto-correlation; image segmentation; thresholding;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government (ICMeCG), 2011 Fifth International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-4577-1659-1
Type
conf
DOI
10.1109/ICMeCG.2011.36
Filename
6092676
Link To Document