Image detection method and device and storage medium

An image detection and image technology, applied in the field of image processing, can solve the problems of increasing the difficulty of training image collection, consuming a large amount of manpower and material resources, and cumbersome abnormal image detection process, so as to reduce the difficulty of collection and save manpower and material resources

Active Publication Date: 2019-07-30
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
View PDF9 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In related technologies, it is not only necessary to collect a large number of images of target objects in an abnormal state, but also to label training images, which increases the difficulty of collecting training images, makes the detection process of abnormal images cumbersome, and consumes a lot of manpower and material resources

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image detection method and device and storage medium
  • Image detection method and device and storage medium
  • Image detection method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0059] see figure 1 , which is a schematic flowchart of an image detection method provided by an embodiment of the present invention. It should be noted that the image detection method of the embodiment of the present invention can be applied to the image detection device of the embodiment of the present invention, and the image detection device can be It is configured in a terminal, which can be a hardware device with various operating systems such as a mobile phone, a tablet computer, a handheld computer, and a personal digital assistant.

[0060]In addition, this description provides the operation steps of the method described in the embodiment or flow chart, but more or less operation steps may be included based on routine or non-c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an image detection method and device and a storage medium, and the method comprises the steps: obtaining a to-be-detected image of a target object; determining the similarity between the to-be-detected image and a template image in a template image set, wherein the template image set comprises a standard image of a target object generated based on a standard image generation model; obtaining a target template image of which the similarity degree reaches a preset condition from the template image set; determining a detection result of the to-be-detected image according to a comparison condition of the to-be-detected image and the target template image, wherein the standard image generation model comprises an image generation model obtained by training a generative adversarial network model based on an original image pair of a target object in a normal state. According to the invention, the collection difficulty of training images is reduced, and a lot of manpowerand material resources are saved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image detection method, device and storage medium. Background technique [0002] At present, there are more and more applications of machine learning models to detect images to identify abnormal images (that is, images containing target objects in abnormal states). In the prior art, it is generally necessary to collect a large number of images of target objects in an abnormal state as training images, use the training images to train a machine learning model to obtain a classification model that can identify abnormal images, and then based on the trained classification model from the test image Abnormal images are identified in . [0003] In the process of realizing the present invention, the inventor finds that there are at least the following defects in the prior art: [0004] In related technologies, it is not only necessary to collect a large number of i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/214
Inventor 郭世嘉廖术
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap