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Journal of Agriculture ›› 2022, Vol. 12 ›› Issue (2): 73-75.doi: 10.11923/j.issn.2095-4050.cjas2020-0218

Special Issue: 生物技术 智慧农业 数字乡村

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Leaf Area Measurement System Based on Digital Image Processing Technology

SONG Yingbo()   

  1. Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences, Jiamusi 154007, Heilongjiang, China
  • Received:2020-11-26 Online:2022-02-20 Published:2022-03-16

Abstract:

In view of the time consuming and low efficiency of the traditional method of leaf area measurement, and the high cost and inconvenient maintenance of the leaf area meter method, this study used the image processing technology to measure the leaf area. The computer vision technology reference method was used to solve the limitations of image threshold segmentation, leaf shadow removal and leaf edge detection algorithm, and the threshold was obtained by OTSU method, the median filtering method was used to remove residual impurities in the image, and the Roberts operator was used for edge extraction. Leaf areas are calculated and compared with those obtained by leaf area meter and paper-cutting method. The leaf area determined by the leaf area meter method and the image processing method had the correlation coefficient R2 of 0.962, and the leaf area determined by the paper cutting method and the image processing method had the correlation coefficient R2 of 0.949. The digital image processing method is validated to be suitable for large amount of leaf area measurement, and has fast speed, accurate data and high precision.

Key words: image processing, threshold, arithmetic, pixel, leaf