Method and system for non-destructive counting of rice spikes and grains based on multi-scale analysis of contour information
A multi-scale analysis and contour information technology, applied in counting and agricultural fields, can solve problems such as insufficient counting accuracy, modification, and correction coefficient cannot be effectively determined
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[0186] figure 2 For the images obtained by shooting the measured rice spikes, the image preprocessing steps include grayscale, binarization, circle detection, erosion and expansion, and hole filling. Grayscale processing and binarization processing can separate the rice ear image from the background, circle detection is used to detect and remove the black circular magnet in the picture, corrosion and expansion processing are used to remove the branches of the rice ear in the picture, and hole filling Used to fill incompletely divided holes in rice ears. The binary image obtained after the above processing is as follows: image 3 As shown, there are 22 connected regions in the figure. The main axis in the connected region obtained after the one-dimensional sequence acquisition step of the measured rice ear is as follows: Figure 4 shown.
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