Iterative threshold segmentation method based on information entropy

被引：0
作者：
Cui, Jiwen [1 ,2 ]
Guo, Dongyu [1 ,2 ]
Li, Zhe [1 ,2 ]
机构：
[1] Harbin Inst Technol, Ctr Ultraprecis Optoelectroni C Instrument, Harbin 150080, Peoples R China
[2] Harbin Inst Technol, Key Lab Ultraprecis Intelligent Instrumentat, Minist Ind & Informat Technol, Harbin 150080, Peoples R China
来源：
TENTH INTERNATIONAL SYMPOSIUM ON PRECISION MECHANICAL MEASUREMENTS | 2021年 / 12059卷
关键词：
segmentation; iterative; entropy; weak target; CALIBRATION METHOD;
D O I：
10.1117/12.2611613
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Light strip extraction is important in a structured light measurement system. However, the extraction of light strip is incomplete, losing the information, in the detection of highly reflective surface. This paper presents an iterative threshold segmentation algorithm based on information entropy. Firstly, the image is initially segmented, then using the eight-neighborhood detection to remove the noise and retain the light strip, after which the iterative segmentation is carried out with the inflection point of the information entropy of the extracted image as the termination condition to improve the integrity of the light strip segmentation and avoid the excessive segmentation of the background. Compared with the results of Otsu algorithm, the proposed method can retain more complete light strip information, with fewer breaking points.
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页数：7
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