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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2019, Vol. 13 Issue (3) : 588-598    https://doi.org/10.1007/s11704-018-7269-8
RESEARCH ARTICLE
A self-adaptive correction method for perspective distortions of image
Lihua WU(), Qinghua SHANG, Yupeng SUN, Xu BAI
School of Measurement and Communication, Harbin University of Science and Technology, Harbin 150080, China
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Abstract

Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate.

Keywords perspective correction      perspective transformation      Hough transform      edge detection     
Corresponding Author(s): Lihua WU   
Just Accepted Date: 12 September 2018   Online First Date: 04 April 2019    Issue Date: 24 April 2019
 Cite this article:   
Lihua WU,Qinghua SHANG,Yupeng SUN, et al. A self-adaptive correction method for perspective distortions of image[J]. Front. Comput. Sci., 2019, 13(3): 588-598.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-018-7269-8
https://academic.hep.com.cn/fcs/EN/Y2019/V13/I3/588
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