Title :
Threshold Selection Using Maximum Autocorrelation Principle
Author_Institution :
Sch. of Inf. & Safety Eng., Zhongnan Univ. of Econ. & Law, Wuhan, China
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;
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
DOI :
10.1109/ICMeCG.2011.36
