A Novel Method for Detecting the Circle on Motion-Blurred Image

被引：0

作者：

Liu, Fengjing ^{[1
]}

Zhou, Xing ^{[2
]}

Huo, Ju ^{[2
]}

Liu, Yunhe ^{[1
]}

Yang, Ming ^{[3
]}

Liu, Shuai ^{[1
]}

机构：

[1] Beijing Inst Spacecraft Syst Engn, Beijing 100094, Peoples R China

[2] Harbin Inst Technol, Sch Elect Engn, Harbin 150001, Peoples R China

[3] Harbin Inst Technol, Sch Astronaut, Control & Simulat Ctr, Harbin 150001, Peoples R China

来源：

COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL II: SIGNAL PROCESSING | 2020年 / 516卷

关键词：

Stereo vision; Code recognition; Circle detection; Motion blur;

D O I：

10.1007/978-981-13-6504-1_27

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

As a typical feature point with the distinct advantage of being detected easily, the circle has been widely used for camera calibration and motion measurement. However, motion blur may cause a negative effect on the accuracy of the center location. In this paper, the developed method for the circle detection on motion blur image is proposed, which consists of two procedures. Wiener filtering is used to restore a degraded image in the first step. Zernike moment is utilized to subpixel central location in the second step. Image restoring simulation and center detection experiments are provided to verify the performance of the method. Results show that the clarity of the images restored by Weiner filtering is high and the circles on the restored image can be detected successfully and located accurately.

引用

页码：208 / 217

页数：10

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