Research on Image Mosaic Method Based on Binocular Vision Feature Point Matching

被引：3

作者：

Wang Caidong ^{[1
]}

Liu Fengyang ^{[1
]}

Li Zhihang ^{[1
]}

Chen Zhihong ^{[2
]}

Cheng Yan ^{[1
]}

Zheng Huadong ^{[1
]}

机构：

[1] Zhengzhou Univ Light Ind, Coll Mech & Elect Engn, Zhengzhou 450002, Henan, Peoples R China

[2] Zhengzhou Kehui Technol Co Ltd, Zhengzhou 450001, Henan, Peoples R China

来源：

LASER & OPTOELECTRONICS PROGRESS | 2021年 / 58卷 / 12期

关键词：

imaging systems; binocular vision; image detection; image mosaic; feature point;

D O I：

10.3788/LOP202158.1211002

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Aiming at the technical difficulties of the visual online inspection of large workpieces, an image mosaic method based on binocular vision feature point matching is proposed. Feature points are detected and matched based on an improved scale-invariant feature transform algorithm. A random sampling consensus algorithm is used to estimate the parameters of the transformation model to eliminate mismatched points, and a weighted smooth fusion method is used to fuse the spliced traces to complete the image splicing and fusion. The flexible visual detection system platform is built and the detection experiment of the workpiece feature area is carried out. The experimental datas are compared with the actual value of the workpiece feature area to verify the correctness and effectiveness of the mosaic method. Experimental results show that the proposed method meets the requirements of fast image stitching using a binocular-vision system in actual industrial production.

引用

页数：9

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