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Automatic leucorrhea trichomonad detection method based on moving target recognition

A moving target, automatic detection technology, applied in the field of image processing, can solve the problems of difficult classification of morphological features and difficult segmentation of trichomonas microscopic images, and achieve the effect of accurate segmentation

Active Publication Date: 2017-03-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] The present invention proposes a solution to solve the problems that trichomonas microscopic images are difficult to segment and morphological features are difficult to classify. At the same time, the traditional Kalman background reconstruction method is improved, which can effectively suppress the noise caused by illumination changes, lens movement and focal length changes, and accurately Segment background and foreground regions

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  • Automatic leucorrhea trichomonad detection method based on moving target recognition

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Embodiment Construction

[0047] The visual solution of the present invention will be described in detail below in conjunction with the accompanying drawings:

[0048] Step 1: Apply the vaginal discharge sample to the glass slide, put it under the microscope, obtain the best shooting distance and keep it fixed;

[0049] Step 2: Use the microscope camera to collect a continuous and clear sequence of sample images in the same field of view;

[0050] Step 3: Use the first image of the image sequence in step 2 as the background image in the Kalman background reconstruction method;

[0051] Step 3-1: Extract the first image of the image sequence;

[0052] Step 3-2: Perform Gaussian filtering on the image, use a circular neighborhood with a radius of 10, and a parameter σ equal to 2, filter out noise, and obtain a background image.

[0053] Step 4: Extract the subsequent images collected in step 2, and obtain the difference image after subtracting the current subsequent image from the background image, and obtain the p...

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Abstract

The invention discloses an automatic leucorrhea trichomonad detection method based on moving target recognition, and belongs to the field of image processing. The method comprises the steps that sample images are continuously acquired and then processed to acquire foregrounds and backgrounds of the images, trichomonad areas are recognized at the positions where the foregrounds and the backgrounds are changed by conducting foreground and background analyzing on the continuous images, and then trichomonad is recognized according to the morphological characteristics of the trichomonad. Therefore, the method has the advantages that a traditional Kalman background reconstruction method is improved, noise brought by illumination changing, lens shifting and focal length changing can be effectively inhibited, and the background and foreground areas can be accurately partitioned.

Description

Technical field [0001] The invention belongs to the field of image processing, and particularly adopts a method of moving target recognition to automatically detect trichomonas in leucorrhea. Background technique [0002] Trichomonas microscopy is a routine item in the leucorrhea examination and an important criterion for judging whether the leucorrhea is abnormal. The commonly used method for detection of trichomoniasis in hospitals is manual microscopy, which is not efficient and is prone to missed detection. In order to solve the problem of low manual efficiency and error-proneness, many applications of automatic biological cell detection have been proposed. A commonly used computer vision method is: firstly segment the microscopic image, extract a single cell, further analyze the various morphological characteristics of each cell, and finally use a suitable feature classification method to classify the cells to identify the cell types. [0003] Due to the movement characteris...

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Application Information

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IPC IPC(8): G01N21/84G06T7/10G06T7/194
CPCG01N21/84G06T2207/10061
Inventor 刘霖王祥舟胡静蓉郝如茜张正龙韩翠张静刘娟秀倪光明杜晓辉刘永
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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