基于改进模板匹配算法的物料计数方法研究

doi:10.3969/j.issn.1000-1158.2022.07.05

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Abstract In order to solve the defects of the material counting method in the production process, an improved template matching algorithm is studied for material quantity detection, and the improved template matching algorithm (TMA) is optimized based on the dual template search method and the position constraint coefficient r. The process of finding the best matching image, obtaining the optimal solution, and then performing image stitching to complete the material count. Through experimental comparison with traditional TMA and Gaussian pyramid transformation (GPT) optimization, it proves that compared with the other two algorithms, the time to process each sample image is shortened from 0.013s, 0.011s to 0.008s, and the counting accuracy is improved from 77.32%, 84.94% to more than 97.36% respectively. The stitching accuracy is also better than the other two algorithms, and the experimental results verify the effectiveness of the algorithm.

Key words： metrology material counting image mosaic template matching dual template search position constraints

Received: 15 March 2021 Published: 18 July 2022

PACS:	TB96
	TB938.1

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	Articles by authors
	HAN Shuo
	CHEN Xiao-rong
	ZHANG Cai-xia
	GUO Rong-rong
	WANG Xiao-long

Cite this article:

HAN Shuo,CHEN Xiao-rong,ZHANG Cai-xia, et al. Research on Material Counting Method Based on Improved Template Matching Algorithm[J]. Acta Metrologica Sinica, 2022, 43(7): 863-868.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2022.07.05 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2022/V43/I7/863

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