Automatic contour recognition method for tomographic images

A tomographic image, automatic recognition technology, applied in the field of image processing, can solve the problem of heavy workload, unable to meet the extraction of slice image contour data, etc., to achieve the effect of improving the recognition accuracy

Pending Publication Date: 2021-02-19
WUHAN OE BIO CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The workload is heavy, and it is unable to meet the needs of...

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  • Automatic contour recognition method for tomographic images
  • Automatic contour recognition method for tomographic images

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Embodiment Construction

[0034] The following specific implementation methods are used to explain the technical solutions of the claims of the present invention, so that those skilled in the art can understand the claims. The protection scope of the present invention is not limited to the following specific implementation structures. The protection scope of the present invention includes the technical solution of the claims of the present invention made by those skilled in the art and is different from the following specific embodiments.

[0035] The invention realizes automatic image processing based on a computer system, and runs on common computer systems such as common Windows systems, Linux systems, and Mac systems.

[0036] The embodiment is described with the recognition and extraction of the outline of the mouse brain tomographic image data.

[0037] Usually, the tomographic images (brain tissue slices) of test mice are acquired (photographed) with thousands of tomographic slice images. The ...

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Abstract

The invention discloses an automatic contour recognition method for a tomographic image. The method comprises the following steps: after an acquired tomographic image is de-noised, determining a boundary gray value T of a foreground and a background in a single image, and respectively correcting a foreground image gray value set and a background image gray value set by utilizing the boundary grayvalue T, a selected foreground image gray value and a selected background image gray value; and obtaining first foreground image feature data P2 and background image feature data P1, and inputting theforeground image feature data P2 and the background image feature data P1 through an onecut algorithm to obtain an identified second foreground image P3. According to the method, automatic identification of each image contour in multiple tissue slice images is realized, the method is particularly used for automatic processing of animal tissue slice image data with about thousands of layers, automatic contour information identification and extraction of the whole animal tissue slice tomographic image data are realized, and any identification parameters do not need to be modified manually.

Description

technical field [0001] The invention belongs to image processing technology, and in particular relates to an image contour recognition technology. Background technique [0002] Contour detection refers to the process of ignoring various noise interference inside the background and target in the digital image containing the target and the background, and adopting a certain algorithm to realize the process of extracting the target contour. [0003] CN201710139018.3 discloses a target recognition method based on image contour features. In this method, the template image and the image of the object to be tested are preprocessed to generate a binary image. It is therefore necessary to create template image data. Not suitable for image processing of human or animal tissue slices. [0004] CN109934813A discloses a method for identifying a target object. After identifying the first contour of the target object through a U-shaped full convolution neural network model, the method p...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/46G06T5/00G06T5/20G06T7/136G06T7/194
CPCG06T5/002G06T7/136G06T5/20G06T7/194G06V10/25G06V10/44
Inventor 严程孟诺林陈谦
Owner WUHAN OE BIO CO LTD
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