Caenorhabditis elegans identification method and system for easy image segmentation
An image segmentation and recognition method technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of uneven brightness, identification of nematodes, etc., and achieve the effect of good promotion and use value, convenient calculation and filter recognition
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[0047] Example 1:
[0048] The nematode identification method for easy image segmentation of the present invention uses a computer for image collection and image processing to identify nematodes; it includes the following steps:
[0049] (1). Read the experimental image of the nematode on the microplate;
[0050] (2) Calculate the gray-level co-occurrence matrix and contrast characteristic value in the nematode experimental image by means of a sliding window, and obtain the contrast characteristic value centered on each pixel, and transform it into a contrast characteristic image;
[0051] (3) Perform preliminary segmentation of the contrast characteristic image, and identify foreground objects based on the difference in contrast;
[0052] (4) Filter the segmented foreground objects to identify nematodes.
Example Embodiment
[0053] Example 2:
[0054] The nematode identification method for easy image segmentation of the present invention uses a computer for image collection and image processing to identify nematodes; it includes the following steps:
[0055] (1). Read the experimental image of the nematode on the microplate;
[0056] (2) Calculate the gray-level co-occurrence matrix and contrast characteristic value in the experimental image of nematodes through a sliding window, and obtain the contrast characteristic value centered on each pixel, and transform it into the contrast characteristic image;
[0057] (3) Perform preliminary segmentation of the contrast characteristic image, and identify foreground objects based on the difference in contrast;
[0058] (4) Filter the segmented foreground objects to identify nematodes.
[0059] In step (2), each window slides over the covered sub-image, calculates the gray-level co-occurrence matrix and contrast characteristic value in the sub-image area, and assign...
Example Embodiment
[0060] Example 3:
[0061] The nematode identification method for easy image segmentation of the present invention uses a computer for image collection and image processing to identify nematodes; it includes the following steps:
[0062] (1). Read the experimental image of the nematode on the microplate;
[0063] (2) Calculate the gray-level co-occurrence matrix and contrast characteristic value in the experimental image of nematodes through a sliding window, and obtain the contrast characteristic value centered on each pixel, and transform it into the contrast characteristic image;
[0064] (3) Perform preliminary segmentation of the contrast characteristic image, and identify foreground objects based on the difference in contrast;
[0065] (4) Filter the segmented foreground objects to identify nematodes.
[0066] In the step (2), each window slides over the covered sub-image, calculates the gray-level co-occurrence matrix and contrast characteristic value in the sub-image area, and as...
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