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Pig intestine epithelium injury repair image recognition method and system

A technology for damage repair and image recognition, applied in image enhancement, image analysis, image data processing, etc., to reduce errors, improve recognition rate and clarity, and improve accuracy

Active Publication Date: 2021-10-08
ANIMAL SCI RES INST GUANGDONG ACADEMY OF AGRI SCI
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to propose a pig intestinal epithelial injury repair image recognition method and system to solve one or more technical problems in the prior art, at least provide a beneficial choice or create conditions

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  • Pig intestine epithelium injury repair image recognition method and system

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Embodiment Construction

[0068] The concept, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present disclosure. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0069] Such as figure 1 Shown is a flow chart of a pig intestinal epithelial injury repair image recognition method, combined below figure 1 To illustrate a method for image recognition of pig intestinal epithelial damage repair according to an embodiment of the present invention, the method includes the following steps:

[0070] S100, acquiring a TEM image of a slice of pig small intestine;

[0071] S200, grayscale the TEM image to obtain a grayscale image;

[0072] S300, performing boundary detection on the grayscale image through a watershed algo...

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Abstract

The invention discloses a pig intestine epithelium injury repair image recognition method and system. The method comprises the following steps: acquiring a TEM image of a pig small intestine section slice; recognizing and marking striatum edges in each edge line in the TEM image to obtain a striatum edge set; marking unclear striated edges in all the striated edges in the striated edge set; repairing the unclear striated edges in the striated edge set to obtain a repaired striated edge set; and marking the striatum region on the TEM image according to the position of each repaired striatum in the repaired striatum set. Therefore, the problems that the boundaries among the epithelial cells of the pig intestines are not clear, the striatum is overlapped and adhered and the like can be solved. The recognition rate and the definition of the striatum are improved. Errors of subsequent statistical analysis of the striatum and an intestinal epithelium injury repair model constructed according to the striatum and used for animal experiments are reduced, and the accuracy of statistical results is improved.

Description

technical field [0001] The disclosure belongs to the fields of computer vision, image processing technology, and data analysis technology, and in particular relates to an image recognition method and system for repairing pig intestinal epithelium damage. Background technique [0002] At present, the intestinal system has the largest mucosal surface in the body and is composed of a single layer of intestinal epithelial cells capable of continuous self-renewal. and damage from the external environment. The general process of sampling images is to slice the small intestine of the pig, fix it with Bouin's solution, embed it in paraffin, and stain it with hematoxylin-eosin (HE staining). The finger-like protrusions formed by the longitudinal section of the villi are covered with a layer of columnar epithelial cells. On the free surface of the cells (the side facing the intestinal cavity), a thin layer of red-stained columnar cells often adheres to the surface of the cells under ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13
CPCG06T7/0012G06T7/13G06T2207/10056G06T2207/30028
Inventor 鲁慧杰马现永余苗田志梅容庭邓盾崔艺燕刘志昌李贞明宋敏
Owner ANIMAL SCI RES INST GUANGDONG ACADEMY OF AGRI SCI
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