A self-adaptive correction method for perspective distortions of image

doi:10.1007/s11704-018-7269-8

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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