Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for dynamically calibrating image light intensity on basis of environmental factors

A dynamic correction and light intensity technology, applied in image enhancement, image data processing, instruments, etc., to achieve strong computing advantages, easy implementation, and low time complexity

Inactive Publication Date: 2013-03-27
SUZHOU SOUKE INFORMATION TECH
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the division standard of unstructured information in images is a fuzzy concept, the traditional single threshold processing can no longer handle images containing complex information well.

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
  • Method for dynamically calibrating image light intensity on basis of environmental factors
  • Method for dynamically calibrating image light intensity on basis of environmental factors
  • Method for dynamically calibrating image light intensity on basis of environmental factors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0082] figure 1 The flow chart of the dynamic correction method of image light intensity based on environmental factors, the data file (picture file) is a 2 million pixel traffic sequence picture:

[0083] Step (1): Read in the picture and perform image inversion transformation on it. Specific steps are as follows:

[0084] Read in the picture, reset the size of the picture to 1024 pixels (length) × 1024 pixels (width), and the image inversion expression with the grayscale range [0, L-1] is: s=L-1-r.

[0085] Among them, L represents the maximum gray value, r represents the pixel value before processing, and s represents the pixel value after processing.

[0086] Step (2): Divide the image into sub-tiles of NN for processing. Here, N generally takes 9. (The larger N is, the more accurate the calculation will be, but the amount of calculation will also increase accordingly)

[0087]

[0088]

[0089] The specific value is determined by combining dynamic fuzzy logic a...

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 a method for dynamically calibrating image light intensity on the basis of environmental factors. The method includes the steps of reversing an image to distinctly display key areas; segmenting the image into NxN sub-blocks for processing; processing the sub-blocks via power transformation; processing the sub-blocks via grayscale mapping transformation; subjecting the sub-blocks to histogram processing; processing the sub-blocks via dynamic fuzzy histogram equalization; respectively processing the sub-blocks via masking and filtering by a hybrid space processing method; iterating every sub-blocks of the NxN sub-blocks by a Lucy_Richardson filter; respectively calculating to optimize the power transformation step and the dynamic fuzzy histogram equalization step of the sub-blocks by a fuzzy logic theory; and reversing the image again and outputting the final image, wherein the N is an integer nine, the maximum information entropy is judged as the optimum optimizing standard. By the aid of the method, information entropy of the image is effectively increased, and good light calibrating effect is obtained.

Description

technical field [0001] The invention relates to an adaptive dynamic correction method for a fixed scene image, in particular to a dynamic correction method for image light intensity based on environmental factors, and belongs to the field of light intensity correction in image processing technology. Background technique [0002] With the rapid development of the economy and the continuous expansion of the city, the number of motor vehicles is also increasing rapidly. However, traffic construction and people's awareness of traffic laws are relatively lagging behind. Traffic violations and accidents occur frequently, which puts higher demands on traffic supervision departments Require. The application of the motor vehicle retrieval system in traffic video can not only provide first-hand data for urban traffic planning, but also provide great convenience for traffic control departments and public security departments to track down vehicles that cause accidents and violate regul...

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): G06T5/40
Inventor 崔志明张广铭吴健杨元峰
Owner SUZHOU SOUKE INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com