Image segmentation method and terminal device based on neural network

A neural network and image segmentation technology, which is applied in biological neural network models, image analysis, image enhancement, etc., can solve the problems of outdated data and low security

Active Publication Date: 2019-02-22
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a neural network-based image segmentation method and terminal equipment to solve the problems of low security and outdated data in the prior art

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  • Image segmentation method and terminal device based on neural network
  • Image segmentation method and terminal device based on neural network
  • Image segmentation method and terminal device based on neural network

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Embodiment Construction

[0035] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0036] In order to illustrate the technical solutions of the present invention, the following specific embodiments are used for description.

[0037] figure 1 An implementation process of the neural network-based image segmentation method provided by the embodiment of the present invention is shown, and the method process includes steps S101 to S105. The specific implem...

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Abstract

The invention is applicable to the technical field of artificial intelligence, provides an image segmentation method based on a neural network and a terminal device. The method includes processing theoriginal image based on the preset equalization algorithm, generating a reference image, dividing the reference image into a plurality of slices, reading pixel point data of each pixel point in the slice, and assigning a number to each slice, simultaneously inputting the pixel data of the preset number of adjacent slices into the preset neural network model, outputting segmentation parameters corresponding to the slices whose numbers are centered, and taking the pixel points covered by the slices corresponding to the segmentation parameters satisfying the preset conditions as the pixel pointscovered by the target image, thereby segmenting the target image, so as to improve the automation degree of image segmentation and recognition.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an image segmentation method and terminal device based on a neural network. Background technique [0002] In real life, engineers often need to extract target images from a pair of images. For example, a doctor needs to screen out images of different organs from CT images of the human body, such as heart images, liver images, and so on. [0003] At present, the screening of different target objects in human CT images is often completed by doctors or researchers with professional knowledge. However, due to the huge number of images to be recognized, it takes a lot of time to manually screen and cut the target objects. SUMMARY OF THE INVENTION [0004] In view of this, the embodiments of the present invention provide an image segmentation method and terminal device based on a neural network, so as to solve the problems of low security and outdated data...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06N3/04
CPCG06T7/11G06T2207/10081G06N3/045Y02T10/40
Inventor 马进王健宗肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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