Acta Optica Sinica, Volume. 38, Issue 4, 0415002(2018)
Feature Point Extraction and Matching Algorithm of Smooth Surfaces Without Chromatic Aberration
Fig. 2. Examples of image preprocessing. (a) Experimental surface after irradiating; (b) partial enlarged image after binaryzation; (c) partial enlarged image after de-noising; (d) partial enlarged image after thinning
Fig. 3. Partial enlarged images of different types of connected points. (a) Double angle type; (b) T and angle type; (c) point and angle type; (d) T and point type; (e) cross type; (f) overlapping type
Fig. 4. Partial enlarged images of connected points after filtration. (a) Double angle type; (b) T and angle type; (c) point and angle type; (d) T and point type; (e) cross type; (f) overlapping type
Fig. 5. Partial enlarged images of connected points after second filtration. (a) Double angle type; (b) T and angle type; (c) point and angle type; (d) T and point type; (e) cross type; (f) overlapping type
Fig. 9. Extraction and matching results of left and right cameras. (a) Pot; (b) grid plate; (c) china cup
Fig. 10. Extraction results of feature points in different references. (a) Ref. [20]; (b) Ref. [14]; (c) Ref. [16]; (d) Ref. [17]
Fig. 11. Objects to be measured. (a) Grid plate plane; (b) white paper plane; (c) stripe paper plane
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Pengfei Xu, Zhaoliang Jiang, Yang Zhao, Xianmeng Zhu. Feature Point Extraction and Matching Algorithm of Smooth Surfaces Without Chromatic Aberration[J]. Acta Optica Sinica, 2018, 38(4): 0415002
Category: Machine Vision
Received: Sep. 1, 2017
Accepted: --
Published Online: Jul. 10, 2018
The Author Email: Jiang Zhaoliang (jiangzhaoliang@sdu.edu.cn)