Paper
14 December 2015 A threshold selection method based on edge preserving
Liantang Lou, Wei Dan, Jiaqi Chen
Author Affiliations +
Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 981218 (2015) https://doi.org/10.1117/12.2208106
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
A method of automatic threshold selection for image segmentation is presented. An optimal threshold is selected in order to preserve edge of image perfectly in image segmentation. The shortcoming of Otsu's method based on gray-level histograms is analyzed. The edge energy function of bivariate continuous function is expressed as the line integral while the edge energy function of image is simulated by discretizing the integral. An optimal threshold method by maximizing the edge energy function is given. Several experimental results are also presented to compare with the Otsu's method.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liantang Lou, Wei Dan, and Jiaqi Chen "A threshold selection method based on edge preserving", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981218 (14 December 2015); https://doi.org/10.1117/12.2208106
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KEYWORDS
Image segmentation

Binary data

Image processing algorithms and systems

Ultrasonography

Automatic target recognition

Computer vision technology

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