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A method for identifying and counting cells

A counting method and cell technology, applied in the field of medical image processing, can solve problems such as heavy inspection workload, unsatisfactory cell recognition methods, and wrong recognition

Active Publication Date: 2018-08-24
HEFEI UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method has many deficiencies: firstly, the inspection workload is large, the efficiency is low, and continuous work is easy to cause wrong identification due to objective factors; secondly, the identification and analysis of samples is easily restricted by visual fatigue, etc. factors without objective criteria
Ordinary cell recognition methods cannot meet the requirements of normal human medical pathology detection. It is necessary to find a method to eliminate over-segmentation and improve the definition of segmentation lines to improve the recognition rate.

Method used

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  • A method for identifying and counting cells
  • A method for identifying and counting cells
  • A method for identifying and counting cells

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Experimental program
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Embodiment

[0135] More specifically, as figure 1 , figure 2 and image 3 Shown, the present invention comprises the following steps:

[0136] 1. Preprocessing stage of image acquisition

[0137] The image that is collected is carried out gray scale, uses weighted average method, three components are carried out weighted average with different weights, obtains gray scale image, the weighting formula used in the present invention is as follows:

[0138] f(i,j)=0.30R(i,j)+0.59G(i,j)+0.11B(i,j)

[0139] f(i,j) represents the grayscale value of the image after grayscale, R(i,j), G(i,j), B(i,j) represent the pixel points of the original image before grayscale The grayscale value of the color for the three channels.

[0140] Divide the grayscaled image into 4 equal parts, a total of four rectangular ROI areas, namely img1 in the upper left corner, img2 in the upper right corner, img3 in the lower left corner, and img4 in the lower right corner. The specific parameters are as follows:

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Abstract

The invention discloses a method for identifying and counting cells, which includes nine steps: preprocessing the images in the micron-level microscopic collection environment; extracting cell holes from the preprocessed images; using the knowledge of connected domains Fill the closed holes of the cells; extract the outline point sequence of the cells from the filled image in step 3; fill the unclosed holes of the cells by using the unclosed hole filling method based on the circularity judgment; the filled image Carry out chamfering transformation; use the cell hole position to mark the unique extreme value; use the marker-based watershed method to segment the image after unique extreme value; quantify and mark the segmentation results. Beneficial technical effects: the present invention can greatly reduce the influence of image noise, improve over-segmentation and discontinuous segmentation lines, improve segmentation effect, and increase cell recognition rate.

Description

technical field [0001] The invention relates to the technical field of medical image feature extraction and identification in the field of medical image processing, and in particular to a method for identifying and counting cells. Background technique [0002] The methods of the prior art require a large amount of time to examine a sample. This method has many shortcomings: firstly, the inspection workload is large, the efficiency is low, and continuous work is easy to cause wrong identification due to objective factors; secondly, the identification and analysis of samples is easily restricted by visual fatigue, etc., mixed with strong subjective factors without objective criteria. The existing semi-automatic identification and detection methods are becoming more and more inappropriate. When the peak period of detection is encountered, the test results cannot be obtained in time and accurately, which will delay the patient's visit to the doctor. Therefore, realizing the au...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/34G06K9/38G06K9/46
CPCG06V10/267G06V10/28G06V10/457G06V2201/03
Inventor 霍星檀结庆荆珏华董周樑汪国新何逸飞沈宏伟邵堃
Owner HEFEI UNIV OF TECH
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