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Method for automatically recognizing clue cells in leucorrhea based on morphological characteristics

A technology based on morphology and automatic recognition, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as false detection, achieve the effect of reducing workload, efficient and convenient automatic recognition, and liberating manpower

Inactive Publication Date: 2017-07-28
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, due to the similar size of clue cells and epithelial cells, medical staff may cause false detection of both due to long-term and high-intensity work.

Method used

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  • Method for automatically recognizing clue cells in leucorrhea based on morphological characteristics
  • Method for automatically recognizing clue cells in leucorrhea based on morphological characteristics
  • Method for automatically recognizing clue cells in leucorrhea based on morphological characteristics

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Embodiment Construction

[0039] A method for automatic identification of clue cells in leucorrhea based on morphological characteristics proposed by the present invention will be described in detail below in conjunction with the accompanying drawings:

[0040] Step 1: Dissolve the leucorrhea sample in an appropriate amount of 0.9% sodium chloride solution, and collect several microscopic images of saline leucorrhea with a CCD industrial camera;

[0041] Step 2: Gray-scale processing is performed on the saline leucorrhea microscopic image obtained in step 1 to obtain a microscopic gray-scale image of the leucorrhea sample;

[0042] Step 3: Carry out median filtering to the microscopic grayscale image obtained in step 2, to obtain a microscopic image of leucorrhea after median filtering;

[0043] Step 3-1: Slide the 8×8 filter window on the microscopic grayscale image, so that the target pixel to be processed is located in the center of the filter window;

[0044] Step 3-2: Sort the pixel gray value in...

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Abstract

The invention discloses a method for automatically recognizing clue cells in leucorrhea based on morphological characteristics and the method belongs to the application of digital image processing technology in medical examination aspect. The method comprises the steps: the machine vision technology is combined, a plurality of brine leucorrhea microscopic images are acquired by a biological microscopic camera, image preprocessing is performed on the images, the area and the perimeter of clue cell and epithelial cell are much larger than those of most cells, so the clue cells and the epithelial cells are extracted firstly, then the above two cells are distinguished according to the characteristics of textures in a small gray-scale image, so that the purpose of efficient and convenient automatic recognition is reached, the workload of medical personnel is greatly reduced, and the labor is saved.

Description

technical field [0001] The invention belongs to the application of digital image processing technology in medical inspection, and in particular relates to an automatic recognition method for clue cells in leucorrhea based on morphological characteristics. Background technique [0002] Clue cells in leucorrhea are squamous epithelial cells infected by Gardnerella or Bacteria. Appears rough, blotchy and grainy, not very transparent. The appearance of clue cells is mostly related to bacterial vaginosis. If a large number of clue cells are found, it can be initially suspected that the patient is infected with bacterial vaginosis. Therefore, the identification of clue cells is a strong basis for doctors to diagnose gynecological diseases. However, due to the similar size of clue cells and epithelial cells, medical staff may cause false detection of both due to long-term and high-intensity work. Therefore, the method for automatic identification of clue cells in leucorrhea base...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/695
Inventor 郝如茜张静陈祥王祥舟胡静蓉钟亚刘娟秀刘霖杜晓辉倪光明刘永
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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