Nonmetric Correction of Lens Distortion Based on Entropy Measure
Joint Authors
Sun, Lijun
Wu, D.
Chen, Tianfei
Wu, Xiang
Zhang, Qiuwen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In the real vision system, lens always inevitably contains nonlinear distortion, which leads to geometric distortion of digital image, so it must be corrected.
In this paper, a nonmetric correction algorithm for lens distortion based on entropy measure is proposed.
The algorithm uses the imaging characteristics of the space line in the ideal perspective model, and the distortion entropy is defined to measure the degree of lens distortion.
For distortion curves with different distribution, the calculation dimension of distortion entropy measure is uniform, which can reduce the influence of curve inhomogeneity.
On this basis, the modified distortion entropy measure with normalized weight is put forward to enhance the capability of noise suppression, and the distortion correction performance of the traditional interior point optimization algorithm, basic artificial bee colony (ABC) algorithm, and Gbest-guided artificial bee colony (GABC) algorithm is compared and analyzed.
The simulation experiments demonstrate that the correction performance of GABC to optimize the modified distortion entropy measure with normalized weight is best, and it has strong robustness to noise.
Finally, the actual image distortion correction examples verify the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Chen, Tianfei& Sun, Lijun& Zhang, Qiuwen& Wu, Xiang& Wu, D.. 2018. Nonmetric Correction of Lens Distortion Based on Entropy Measure. Scientific Programming،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214691
Modern Language Association (MLA)
Chen, Tianfei…[et al.]. Nonmetric Correction of Lens Distortion Based on Entropy Measure. Scientific Programming No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1214691
American Medical Association (AMA)
Chen, Tianfei& Sun, Lijun& Zhang, Qiuwen& Wu, Xiang& Wu, D.. Nonmetric Correction of Lens Distortion Based on Entropy Measure. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214691
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214691