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- Title
基于透射光和反射光图像同位分割的小麦品种识别方法研究.
- Authors
闫宁; 张晗; 董宏图; 康凯; 罗斌
- Abstract
A segmentation method of embryo and endosperm image based on transmitted light and reflected light at the same position of wheat seeds was proposed in order to improve the recognition accuracy of wheat varieties. In this paper, according to the characteristics of great difference in transmissibility between embryo and endosperm of wheat seed, color feature information was extracted from reflected light images and transmitted light images for modeling and analysis, the influence of transmission light characteristics and color characteristics of seed embryo and endosperm on wheat seed variety recognition were studied. Taking the four varieties of seeds of Jimai 22, Jimai 44, Jingmai 9, and Jingmai 11 as the materials, the color characteristic parameters of the seeds were obtained by using the HALCON machine vision software, and through partial least squares discriminant analysis (PLS-DA) method to establish a classification model. The results showed that after the transmission light image was used to assist the reflected light image segmentation, more seed color parameter information was fused, so that the accuracy of the four varieties of wheat seed recognition was improved. The correct rate of hybrid recognition between Jimai and Jingmai had increased from 95% of the color characteristics of seed reflected light to more than 99% of the color characteristics of transmitted light, embryo and endosperm. The hybrid recognition accuracy rate of Jimai 22 and Jimai 44 increased from 73.28% to 84.60%, and the hybrid recognition accuracy rate of Jingmai 9 and Jingmai 11 increased from 74.15% to 83.73%. The further fusion analysis of the color features contained in the image of seed embryo and endosperm through the transmitted light features can effectively improve the accuracy of wheat variety recognition.
- Subjects
LIGHT transmission; WHEAT; WHEAT seeds; ANALYSIS of colors; COMPUTER vision; IMAGE recognition (Computer vision); ENDOSPERM
- Publication
Acta Agriculturae Zhejiangensis, 2022, Vol 34, Issue 3, p590
- ISSN
1004-1524
- Publication type
Article
- DOI
10.3969/j.issn.1004-1524.2022.03.20