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Method for segmenting adhesive algae cells in algae cell microscopic image

A technology for algal cells and microscopic images, applied in image analysis, image enhancement, image data processing, etc., to achieve the effect of reducing the amount of calculation, low computational cost, and high segmentation accuracy

Active Publication Date: 2020-08-25
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The third is to solve the problem of isolated pits by using the distance transformation function to quickly cut and separate the cohesive algae cells through the shortest distance.

Method used

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  • Method for segmenting adhesive algae cells in algae cell microscopic image
  • Method for segmenting adhesive algae cells in algae cell microscopic image
  • Method for segmenting adhesive algae cells in algae cell microscopic image

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0028] The invention proposes a method for segmenting cohesive algae cells in a microscopic image of algae cells.

[0029] Since the cohesive image in the microscopic image of algae will have many obstacles to the extraction of algae, in order to extract all the individual algae in a complete microscopic image of algae, it is necessary to segment the algae image area where there is cohesion. Among the algae, there are many algae that are round or nearly round. In most cases, the algae stick together only side by side and three sticky, such as figure 1 As shown, the preprocessed binary image is shown as figure 2 shown. The traditional segmentation method can handle...

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Abstract

The invention provides a method for segmenting adhesive algae cells in an algae cell microscopic image. The method comprises the following steps: a corrosion and expansion morphological operation method which is commonly used in image processing is used for preliminarily segmenting algae cells which are slightly adhered; an improved segmentation algorithm based on concave point matching is used for segmentation, and in order to solve the problem of isolated concave points, the adherent algae cells are rapidly segmented through the shortest distance in a distance transformation function mode. According to the method, a traditional concave point matching mode is improved, the calculation amount is greatly reduced, meanwhile, the concave point matching mode of a circular algae three-adhesionregion is optimized, and a distance transformation method is introduced to solve the problem of isolated concave point matching, so that the segmentation accuracy is higher, the required calculation overhead is lower, and the operation time is shorter.

Description

technical field [0001] The invention relates to the field of image segmentation, in particular to a method for segmenting cohesive algae cells in microscopic images of algae cells. Background technique [0002] There must not be only a single algae in the real water sample extracted from nature for accurate identification, so there must be a large number of algae in the microscopic image of the actual water sample, and due to the distribution of algae in the water sample With a certain degree of randomness, there is also a certain degree of randomness in the distribution of algae in the microscope. The sorting method must be complex and changeable, and it is almost inevitable that many algae will stick together. At the same time, this is also for the purpose of counting the statistical algae number information in real water samples. [0003] At present, there are four main types of segmentation schemes for microscopic images of algae cells: image morphology operations, wate...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/64
CPCG06T7/0012G06T7/11G06T7/64G06T7/13G06T7/136G06T2207/10061G06T2207/30024
Inventor 贾海涛唐诗俊许文波贾宇明李俊杰苏明秋陈小波刘亚菲
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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