Automatic chaetoceros and non-chaetoceros sorting method based on microscopic images
An automatic and microscopic image technology of non-chaetoceros, which is applied in image enhancement, image data processing, character and pattern recognition, etc., and can solve problems such as difficult to meet rapid analysis and on-site monitoring, laborious and time-consuming
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[0131] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:
[0132] refer to figure 1 , the flowchart of the automatic classification method of Chaetoceros and non-Cetoceros in the present invention. The invention provides a method for automatically classifying Chaetoceros and non-Chaetoceros based on microscopic images, the method comprising the following steps: (1) converting the algae microscopic image into a binary image; (2) converting the binary Adjust the image to a size suitable for processing; (3) Use appropriate structural elements to perform closed operations on the image; (4) Use the distance transform thinning algorithm to extract the skeleton of the binary image; (5) Extract the number of nodes and endpoints of the skeleton (6) According to whether it satisfies the condition of (number of nodes>5 and number of endpoints>5) as the classification criterion of whether it is Chaetoceros or not.
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