Work

An improved corner detection algorithm for image sequence

Year: 2014

Type: conference-paper

Abstract: A SUSAN corner detection algorithm for a sequence of images is proposed in this paper, The correlation matching algorithm is treated for the coarse positioning of the detection area, after that, SUSAN corner detection is used to obtain interesting points of the target. The SUSAN corner detection has been improved. For the situation that the points of a small area are often detected as corner points incorrectly, the neighbor direction filter is applied to reduce the rate of mistakes. Experiment results show that the algorithm enhances the anti-noise performance, improve the accuracy of detection.

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.2071559

Authors: Minqi Yan, Bianlian Zhang, Min Guo, Guangyuan Tian, Feng Liu, Zeng Huo

Institutions: Xi'an Institute of Optics and Precision Mechanics, Xi’an University

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1966692012

FWCI:

Cites: 3

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Related to: 10