Unlock instant, AI-driven research and patent intelligence for your innovation.

Image processing method, terminal equipment, and computer readable medium

An image processing and image technology, applied in computer parts, computing, instruments, etc., can solve problems such as the inability to understand and predict the meaning of images finely

Inactive Publication Date: 2018-04-06
SHENZHEN GIONEE COMM EQUIP
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current image processing technology can only recognize a single category of objects in the image (such as people, cars, etc.), and an image contains far more than these independent objects, but also includes finer image elements and inter-element relationship and other information
Therefore, the current image processing technology cannot understand and predict the meaning of the image in a fine-grained manner

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 processing method, terminal equipment, and computer readable medium
  • Image processing method, terminal equipment, and computer readable medium
  • Image processing method, terminal equipment, and computer readable medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0085] The above-mentioned content recognition unit 903 is configured to use the probability function

[0086]

[0087] Calculate the classification prediction probability of the content in the above target element area and the position prediction probability of the above target element area; use the equation x * =argmax x Pr(x|I,B I ) to obtain the classification result of the content in the above-mentioned target element area and the predicted position of the above-mentioned target element area;

[0088] The above relationship prediction unit 904 is configured to use the probability function

[0089]

[0090] Calculate the predicted probability of the relationship between the content in the target element area above; using the equation x * =argmax x Pr(x|I,B I ) to obtain the relationship prediction result between the contents in the above-mentioned target element area;

[0091] in, is a collection of variables, Pr is the probability function name of each varia...

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 embodiment of the invention provides an image processing method, terminal equipment, and a computer readable medium. The method comprises the steps: receiving a to-be-processed image; extracting afeature map of the above-mentioned to-be-processed image, wherein the feature map comprises a first image element and a second image element; performing content recognition of the first image elementand the second image element, and obtaining a first content and a second content; and performing the relationship prediction according to the first content and the second content, and obtaining a relationship prediction result. According to the embodiment of the invention, the method can achieve the precise recognition of all elements in the image, and also can achieve the prediction of the relation between the elements.

Description

technical field [0001] The present invention relates to the field of electronic communication, in particular to an image processing method, a terminal device and a computer-readable medium. Background technique [0002] With the continuous development of information technology, more and more image information affects and changes people's lives, and people's requirements for image processing are also increasing. Object recognition is a very important content in the field of image processing, widely used in medicine, video surveillance and other aspects. [0003] In recent years, with the application of deep learning in the field of image processing, the research of target recognition has also made breakthrough progress, and the detection accuracy has been greatly improved. [0004] However, the current image processing technology can only recognize a single category of objects in the image (such as people, cars, etc.), and an image contains far more than these independent ob...

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): G06K9/46G06K9/62
CPCG06V10/40G06F18/21
Inventor 朱益
Owner SHENZHEN GIONEE COMM EQUIP
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com