Adipocyte cell automatic counting method based on image segmentation and edge detection

A fat cell and edge detection technology, applied in the field of medical image processing, can solve the problems of low statistical efficiency and heavy tasks of manual counting of fat cells, and achieve the effect of saving medical expenses, reducing burden, and reducing subjective interference

Active Publication Date: 2017-11-03
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0005] The purpose of the invention is to propose a method for automatic counting of fat cells based on image

Method used

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  • Adipocyte cell automatic counting method based on image segmentation and edge detection
  • Adipocyte cell automatic counting method based on image segmentation and edge detection
  • Adipocyte cell automatic counting method based on image segmentation and edge detection

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Embodiment Construction

[0047] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0048] The specific implementation steps of the present invention are as follows:

[0049] (1) Input fat image I( figure 2 ), 768*1020 pixels, set initial parameters: area threshold T, kernel size H and σ of Gaussian operators g1 and g2, morphological opening operation, closing operation, operator size of expansion operation, watershed length threshold L, connectivity Threshold c of domain perimeter squared and area ratio.

[0050] (2) Grayscale the image.

[0051] (3) Cell edge extraction:

[0052] A. Threshold segmentation, sequentially perform illumination homogenization and binarization, and obtain the result I t ( image 3 ).

[0053] B. Edge detection, followed by histogram equalization and canny edge detection, for I t carry out the expansion operation,

[0054] And do "AND" processing with the edge detection result to get the result I edge (...

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Abstract

The present invention relates to an adipocyte automatic counting method based on image segmentation and edge detection. According to the method, threshold segmentation and edge detection are performed on an adipose image; the grayscale difference of an object and a background is extracted; the image is divided into a target area and a background area which have different grayscale levels; the edge of the image is a set of pixels of which the image grayscale goes through spatial sudden change; edge pixels in the image are determined, and then are connected together to form a border; adipocyte edges are extracted; morphological processing and filtering operation are performed on the adipocyte edges, segmentation is performed through a watershed algorithm, and therefore, under-dyed adipocyte edges can be identified and segmented, and therefore, the accuracy of adipocyte counting can be improved; connected region analysis is performed on the image, so that the number, area and other data of adipocytes can be put into statistics, and therefore, the efficiency of the counting of the adipocytes can be greatly improved; and dying processing and labeling are performed on the image, and therefore, subsequent manual correction can be facilitated, and high counting accuracy and efficiency can be ensured.

Description

technical field [0001] The invention relates to a cell counting method in the technical field of medical image processing, in particular to an automatic fat cell counting method based on image segmentation and edge detection. Background technique [0002] At present, the image and graphics technology develops rapidly and penetrates into all aspects of human life and social development, especially the development of biological cell medicine is of great significance to human beings. These biological processes affect and reflect the growth and development of organisms and the occurrence of diseases and tumors. Obesity is spreading all over the world and has become a common problem of medicine and society. Obesity is characterized by the excessive accumulation of fat in adipocytes, which involves two physiological phenomena, the change in the proliferation number of adipocytes and the change in the hypertrophic diameter. However, in clinical and basic scientific research pract...

Claims

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Application Information

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IPC IPC(8): G06M11/02G06T7/00G06T7/12G06T7/13G06T7/136G06T7/155G06T7/187
CPCG06M11/02G06T7/0012G06T7/12G06T7/13G06T7/136G06T7/155G06T7/187G06T2207/30024
Inventor 智绪浩王计秋沈红斌宁光
Owner SHANGHAI JIAO TONG UNIV
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