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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

Inactive Publication Date: 2012-09-12
OCEAN UNIV OF CHINA
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Problems solved by technology

This method is not only time-consuming and laborious, but also requires researchers to have rich professional knowledge and classification experience of marine phytoplankton, which is difficult to meet the needs of rapid analysis and on-site monitoring

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  • Automatic chaetoceros and non-chaetoceros sorting method based on microscopic images
  • Automatic chaetoceros and non-chaetoceros sorting method based on microscopic images
  • Automatic chaetoceros and non-chaetoceros sorting method based on microscopic images

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Embodiment Construction

[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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Abstract

The invention provides an automatic chaetoceros and non-chaetoceros sorting method based on microscopic images. The automatic chaetoceros and the non-chaetoceros sorting method based on the microscopic images includes the steps: (1) extracting binarization images of target cells of the algae from the microscopic images of the algae; (2) setting the binarization image height, namely the line number as three hundred pixels regularly, and zooming the rows according to the original proportion; (3) performing closing operation for the images by utilizing a round structure element with a radius of five pixel width; (4) extracting skeleton from the binarization images by utilizing a distance transforming refinement algorithm; (5) extracting node number and endpoint number: extracting node assembly and endpoint assembly of the skeleton, and then acquiring the node number and the endpoint number; (6) judging whether the skeleton is the chaetoceros or not according to the criterion whether the requirements that the node number is not less than 5 and the endpoint number is not less than 5 are met or not. The automatic chaetoceros and the non-chaetoceros sorting method based on the microscopic images is high in accuracy, clear in development, very obvious in economic benefit and social benefit, lays a base for further algae sorting recognition, improves further recognition ratio for the automatic sorting of the algae, and can provide effective instructions and assistance for various algae monitoring personnel and researchers in the front line.

Description

technical field [0001] The invention relates to a method for classifying phytoplankton, in particular to a method for automatically classifying chaetoceros and non-chaetoceros based on microscopic images. Background technique [0002] Phytoplankton refers to tiny algae plants suspended in water, which are the autotrophic part of plankton. Phytoplankton widely exist in rivers, lakes and oceans, and are mostly distributed in the upper layers of waters. The individuals are extremely small and can only be observed with a microscope, and they reproduce extremely fast. In fresh water, there are mainly cyanobacteria, green algae, and diatoms, and in seawater, there are mainly diatoms and dinoflagellates. Phytoplankton are food for aquatic animals (mainly fish); about half of the photosynthesis on Earth is carried out by phytoplankton. Traditional marine phytoplankton surveys generally take on-site sampling by marine survey ships, bring them back to the laboratory, and rely on exp...

Claims

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Application Information

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IPC IPC(8): G06K9/54G06T5/30
Inventor 郑海永姬光荣王国宇于志刚米铁柱
Owner OCEAN UNIV OF CHINA
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