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Fig. 3 | Plant Methods

Fig. 3

From: Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization

Fig. 3

The means and standard deviations of six evaluation indicators for the testing set. Six indicators, including the Qseg, Sr, SSIM, Precision, Recall, and the F-measure (%) are adopted to evaluate the performance of the segmentation result. The color columns and black lines represent the means and standard deviations for the testing set, respectively. Additionally, the color differences of the columns show the various segmentation algorithms (Panicle-SEG, HSeg, i2 hysteresis thresholding, and jointSeg)

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Plant Methods

ISSN: 1746-4811