A new method based on Hough Transform for quick line and circle detection

被引：0

作者：

Ye, Huashan ^{[1
]}

Shang, Guocan ^{[1
]}

Wang, Lina ^{[1
]}

Zheng, Min ^{[1
]}

机构：

[1] Hubei Univ Sci & Technol, Sch Biomed Engn, Xianning Rd 88, Xianning City 437100, Hubei Province, Peoples R China

来源：

2015 8TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI) | 2015年

关键词：

Hough transform; Quick detection; Mathematical; Segment;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Hough transform (HT) is a typical method to detect or segment geometry objects from images. In this paper, we study the principle of Hough Transform and its mathematical expressions, and try to use a new approach based on Hough transform for quick line and circle detection in image processing. Our method accurately detected some simple graphics, such as straight line of different direction, circles of different detection, thickness and different number. The results show that our method is less memory consumption and calculated fast, which could be applied for line detection and segmentation in 3D ultrasonic image.

引用

页码：52 / 56

页数：5

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