License plate defogging method utilizing image decomposition and multi-correction fusion

An image reconstruction and image technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as license plate recognition difficulties, and achieve the effect of simple fog removal, strong adaptability, and wide application background

Active Publication Date: 2019-11-01
CHANGZHOU UNIV
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the present invention proposes a license plate defogging method using image decomposition and multiple correction fusion to solve the problem of difficult license plate recognition in foggy weather and restore the normal and efficient operation of the intelligent transportation system

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
  • License plate defogging method utilizing image decomposition and multi-correction fusion
  • License plate defogging method utilizing image decomposition and multi-correction fusion
  • License plate defogging method utilizing image decomposition and multi-correction fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] A license plate image collected in foggy weather is dehazed on a PC. Figure 4 (a) is the original foggy license plate image collected; Figure 4 (b) is the license plate image processed by the multi-scale Retinex of the traditional defogging algorithm. It can be seen that although there is a certain defogging effect, the image contrast is not high, and the license plate is not clear; Figure 4 (c) is the image processed by the algorithm of this embodiment. First, the foggy license plate image is decomposed into a structure layer and a texture layer, and then the texture layer noise is removed, and the edge texture information is enhanced. The structure layer adopts multiple gamma correction filters and fusion Among them, high-quality image information obtains a clear structure layer with high contrast and high saturation. The values ​​of γ in the gamma correction process are 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, and then n= 9. Finally, the processed texture layer and str...

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 provides a license plate defogging method based on image decomposition and multiple correction fusion. The method comprises the following steps: decomposing a foggy license plate image into a texture layer and a structure layer, enhancing the texture layer, and carrying out defogging processing on the structure layer; defogging the structural layer, processing the image by adopting gamma correction and homomorphic filtering, finally setting the saturation and contrast of the image as fusion weights, and fusing the image according to a Laplace fusion method to obtain a defogged license plate image structural layer; and fusing the defogged structure layer and the enhanced texture layer to obtain a final defogged license plate image. The method solves the problem of difficulty in license plate recognition in a foggy weather environment, effectively improves the image definition, improves the accuracy of license plate positioning and recognition, and restores the normal and efficient work of an intelligent traffic system.

Description

technical field [0001] The invention relates to the fields of image processing, computer vision, computer application technology and the like, in particular to the defogging of license plate images. Background technique [0002] In recent years, with the gradual deterioration of the environment, the smog phenomenon has become more serious, and the occurrence of foggy weather has become more and more frequent. The "Response to Climate Change Report" jointly issued by the Chinese Academy of Social Sciences and the China Meteorological Administration pointed out that in the past 50 years, China's smog weather has generally shown an increasing trend. Now is the era of intelligent transportation. The reasonable application of computer vision system in transportation has improved the management efficiency of transportation system. Fog has brought many difficulties to the intelligent transportation system, and it has the most serious impact on the license plate recognition and det...

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): G06T5/00G06T5/20
CPCG06T5/002G06T5/006G06T5/20G06T2207/10016G06T2207/10024G06T2207/20016G06T2207/20221Y02A90/10
Inventor 陈树越王巧月
Owner CHANGZHOU UNIV
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