Collybia albuminosa-based pileus size in-situ measurement method
A technology of in-situ measurement and gallinarum, which is applied in measuring devices, image enhancement, image analysis, etc., can solve problems such as heavy workload, large measurement error, and unsuitable for large-scale use
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Embodiment 1
[0078] see image 3 , shown in the first embodiment of the present invention is based on the in-situ measurement method of the fungus cap size of Gallatella niger, the method comprises steps S101-S103:
[0079] S101. Acquire a cell image of each C. nigra growing in a culture pot, perform image binarization on the cell image to obtain a binarized image, and obtain a foreground image and a background according to the binarized image Image, the foreground image is the bacterial cover image, and the background image is the soil cover image. According to the bacteria cover image and the soil cover image, edge detection is performed on the binarized image to obtain the edge contour of the bacteria cover with interference. The edge contour of the bacteria cover with interference includes black. The original contour of the Galliceria vulgaris and the edge contour associated with the original contour.
[0080] S102. Obtain the center coordinate point of the edge contour of the cap wit...
Embodiment 2
[0084] Please check Figure 4 , shown in the second embodiment of the present invention is based on the in-situ measurement method of the fungus cap size of Gallatella niger, the method comprises steps S201-S209:
[0085] S201 , acquiring original image data of the bacterial caps grown in the culture pot.
[0086] S202. Perform image preprocessing on the original image data to improve the contrast of the original image data to obtain high-contrast image data.
[0087] Among them, the method of improving the contrast of the original image data is:
[0088] normalizing the raw image data so that the brightness level of the raw image data conforms to a threshold;
[0089] Among them, the normalized formula is:
[0090]
[0091] In the formula, Represents the normalized value of each pixel, x represents the value of each pixel in the input original image, min represents the minimum value of all pixels in the original image, max represents the maximum value of all pixels in t...
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