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Method for identifying and classifying sperms in morphological image

A classification method, technology in images, applied in the field of sperm recognition, can solve problems such as inconsistent results

Inactive Publication Date: 2019-10-22
SHANGHAI BEION MEDICAL TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The main purpose of the present invention is to provide a method using artificial intelligence to collect sperm images under a high-magnification microscope, and to identify and classify the sperm images, so as to solve the problem of inconsistency in the results of manual identification in the prior art

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  • Method for identifying and classifying sperms in morphological image
  • Method for identifying and classifying sperms in morphological image
  • Method for identifying and classifying sperms in morphological image

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Embodiment Construction

[0012] In order to make the purpose, technical features and advantages of the present invention more understandable to those in the relevant technical field, and to implement the present invention, the technical features and implementation modes of the present invention are specifically explained in conjunction with the attached drawings, and listed The preferred embodiment is further described. The diagrams compared below are intended to express the schematic representations related to the features of the present invention, and do not and need not be completely drawn according to the actual situation. And related to the technical content well-known to those skilled in the art in the description about the implementation mode of this case, also no longer stated.

[0013] First please refer to figure 1 , and at the same time cooperate with figure 2 - Figure 4 and Figure 5A - Figure 5B Together to explain. Fig. 1 is a flow chart showing the steps of the method for ident...

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Abstract

The invention discloses a method for identifying and classifying sperms in a morphological image. The method comprises the following steps of: collecting morphological images of the sperms and carrying out image binarization processing on the morphological images; defining the sperms in the morphological images subjected to the image binarization processing as candidate sperms possibly belonging to real sperms, calculating characteristic values of the candidate sperms in the morphological image, providing a preset fixed threshold value, judging whether the characteristic values of the candidate sperms meet the range of the preset fixed threshold value or not, and determining whether the characteristic values of the candidate sperms meet the range of the preset fixed threshold value or not;if yes, defining the candidate sperms as real sperms; and, if not, excluding the sperms from the candidate sperms, comparing the real sperms with various sperm forms pre-stored in a neural network through the neural network, and classifying the real sperms.

Description

technical field [0001] The present invention relates to the field of sperm recognition, in particular to a sperm recognition and classification method using morphological images. Background technique [0002] In the prior art, the analysis of sperm morphology is carried out under a high-magnification microscope by means of manual microscopic examination. However, there are many disadvantages in the manual microscope inspection method, such as strong subjectivity, inconsistent conclusions judged by different operators, and inconsistencies in the results obtained by the same operator at different time periods. This is the main reason The reason is that it is impossible to quantitatively analyze the stained sperm images, which leads to inconsistencies in the results of judgments using traditional manual methods. Contents of the invention [0003] The main purpose of the present invention is to provide a method using artificial intelligence to collect sperm images under a hig...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/38
CPCG06V20/695G06V20/698G06V10/28
Inventor 毛仁建
Owner SHANGHAI BEION MEDICAL TECH CO LTD
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