检索结果-南通市图书馆

circle detection Based on HSI Color Space

在线全文

学校读者我要写书评

暂无评论

Computer Aided Drafting,Design and Manufacturing 2005年第1期15卷 36-40页

作者： MAOXia LIXing-xin XUEYu-li SchoolofElectronicandInformationEngineering BeijingUniversityofAeronauticsandAstronauticsBeijing100083China

A method based on HSI color space is presented to solve the problem of circle detection from color images. In terms of the evaluation to the edge detection method based on intensity, the edge detection based on hue is chosen to process the color image, and the simplified calculation of hue transform is discussed. Then the algorithm of circle detection based on Canny edge detection is proposed. Due to the dispersive distribution of the detected result, Hough transformation and template smooth are used in circle detection, and the proposed method gives a quite good result.

关键词： HSI color space edge detection circle detection Hough transformation

Efficient circle detection by midpoint circle validation

在线全文

学校读者我要写书评

暂无评论

Computer Aided Drafting,Design and Manufacturing 2012年第3期22卷 71-76页

作者： ZHANG Shuai CAO Junjie LIU Xiuping School of Mathematical Sciences Dalian University of TechnologyDalian 116024China

Circular objects detection in digital images, a vital and recurring problem in image processing and computer vision, has many applications especially aiding vectorization of line drawing images, pupil and iris detection, circular traffic sign detection, and so on. In this paper, we lever Midpoint circle Algorithm to speed up circle validation with sub-pixel precision. At the same time, we combine the least square method to improve the accuracy of circle detection. Experimental results from tests on synthetic and natural images validate that the proposed technique is efficiency regarding accuracy, speed and robustness.

关键词： circle detection harmony search optimization least square

An Improved Randomized circle detection Algorithm Using in Printed Circuit Board Locating Mark

在线全文

学校读者我要写书评

暂无评论

Applied Mathematics 2019年第10期10卷 848-861页

作者： Jingkun Liu Qi Fan Chengyi University College Jimei UniversityXiamenChina Xiamen Sinic-Tek Intelligent Technology Co. Ltd.XiamenChina

This paper presents an improved Randomized circle detection (RCD) algorithm with the characteristic of circularity to detect randomized circle in images with complex background, which is not based on the Hough Transform. The experimental results denote that this algorithm can locate the circular mark of Printed Circuit Board (PCB).

关键词： circle detection Randomized Algorithm Characteristic of Circularity Printed Circuit Board

A Fast and Robust circle detection Method using Perpendicular Bisector of Chords

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Fast and Robust Circle Detection Method using Perpendicula...

On-orbit real-time robust cooperative target identification in complex background

第25届中国控制与决策会议

作者： Liyan Luo De Xu Zhengtao Zhang Juan Zhang Wentai Qu Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Ningbo Institute of Technology Zhejiang University

ISBN: (纸本)9781467355339

In this paper a new method to detect the center of a circle is proposed. This method uses pairs of perpendicular bisectors of each two no-repeat intersecting chords to calculate the intersection which is the center of the circle. It can overcome the drawbacks of deviation caused by edge points nonuniformly distributed by centroid method, and drawbacks of highly computation time and a large amount of storage which is brought by Hough Transform, and drawbacks of much disturbance by random noises brought by least square method. Experimental results show that the perpendicular bisector method can eliminate the disturbance of random noises, and can obtain exact circle center rapidly. It can reach an accuracy of less than one pixel for circle center detection.

关键词： circle detection Hough transform Least square Perpendicular bisector Computer-vision

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2015年第5期28卷 1451-1463页

作者： Wen Zhuoman Wang Yanjie Arjan Kuijper Di Nan Luo Jun Zhang Lei Jin Minghe Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences University of the Chinese Academy of Sciences Fraunhofer Institute for Computer Graphics Research Technische Universitt Darmstadt State Key Laboratory of Robotics and System Harbin Institute of Technology

Cooperative target identification is the prerequisite for the relative position and orientation measurement between the space robot arm and the to-be-arrested object. We propose an on- orbit real-time robust algorithm for cooperative target identification in complex background using the features of circle and lines. It first extracts only the interested edges in the target image using an adaptive threshold and refines them to about single-pixel-width with improved non-maximum suppression. Adapting a novel tracking approach, edge segments changing smoothly in tangential directions are obtained. With a small amount of calculation, large numbers of invalid edges are removed. From the few remained edges, valid circular arcs are extracted and reassembled to obtain circles according to a reliable criterion. Finally, the target is identified if there are certain numbers of straight lines whose relative positions with the circle match the known target pattern. Experiments demonstrate that the proposed algorithm accurately identifies the cooperative target within the range of 0.3 1.5 m under complex background at the speed of 8 frames per second, regardless of lighting condition and target attitude. The proposed algorithm is very suitable for real-time visual measurement of space robot arm because of its robustness and small memory requirement.

关键词： circle detection Edge extraction Edge tracking Line detection Robot vision Space robot arm

Research on Headlight Technology of Night Vehicle Intelligent detection Based on Hough Transform

在线全文

学校读者我要写书评

暂无评论

Research on Headlight Technology of Night Vehicle Intelligen...

Detecting circles Using a Two-Stage Approach

作者： Dai Xiaodong Liu Ding Yang li Liu Ya Hunan Institute of Information Technology

With the advent of the Internet+era,intelligent transportation has become a hotspot and frontier in the study of traffic development in the *** the basis of traditional basic transportation facilities,informationiz ation,communic ation and intelligent control are integrated to generate intelligent traffic management *** has become an important symbol of the information age and has become an important condition for smart *** this paper,based on the difference between night vehicle detection and daytime vehicle detection,a Hough transform night vehicle intelligent detection method is ***,the headlights are extracted by grayscale division,and then the extracted lights are divided into connected domains and extracted to the edge of the lamp;then the circle is detected by Hough transform,and then the radius of the lamp is taken and Positioning of the position in the vehicle;finally,since the normal lights will appear in pairs,the vehicle position is matched to determine the position of the *** experimental results show that the algorithm has high detection rate for night vehicle detection and low false alarm.

关键词： intelligent traffic Hough transform circle detection night vehicle detection headlight matching lamp detection

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Journal of Electronic Science and Technology 2014年第3期12卷 318-321页

作者： Wen-Yen Wu Department of Industrial Management I-Shou University

We propose a two-stage method for detecting circular objects in this paper. In the first stage, curves are divided as linear segments or nonlinear segments. A least square estimator is used to find the estimated centers and radii of the nonlinear segments in the second stage. The found centers and radii are then evaluated to see if there exist circles in the nonlinear segments. Both of the broken and occluded circular objects are evaluated for the proposed method. From the experimental results, it is seen that the proposed method is efficient.

关键词： circle detection curve segmentation error estimation fitting