Adaptive double-platform based infrared image enhancement method

An infrared image, dual-platform technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as background, poor noise suppression effect, difficult selection of platform threshold, etc., to improve image applicability, enhancement effect, and obvious effect of effect

Active Publication Date: 2012-09-26
HENAN UNIV OF SCI & TECH
View PDF4 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an infrared image enhancement method based on self-adaptive dual platforms to solve the problems of difficult selection of platform threshold and poor background and noise suppression effect in existing methods

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
  • Adaptive double-platform based infrared image enhancement method
  • Adaptive double-platform based infrared image enhancement method
  • Adaptive double-platform based infrared image enhancement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The flow chart of infrared image enhancement method based on adaptive dual platform is as follows: figure 1 As shown, the steps are as follows:

[0023] (1) Obtain the lower limit threshold t1 in the dual platform through the histogram peak statistics method;

[0024] (2) Obtain the upper threshold t2 by estimating the local maximum value of the neighborhood gray level of the peak value of the target area;

[0025] (3) Perform equidistant equalization processing on the gray scale of the histogram, and arrange the gray scales at equal intervals in the entire display range, so as to obtain an infrared image with continuous gray scale.

[0026] The detailed steps are as follows:

[0027] 1) Adaptive Dual Platform Enhancement

[0028] threshold t 1 and t 2 The selection of is obtained through the histogram peak statistics and the gray level estimation of the target area, where the threshold t 1 Represents the boundary point between the image background and the target ...

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 relates to an adaptive double-platform based infrared image enhancement method. The method comprises the following steps: firstly, obtaining a lower limit threshold t1 in two platforms by using a statistical method for peak values of histograms, wherein the lower limit threshold t1 represents a boundary point of an image background and a target area; then, carrying out local maximum-value estimation on the neighborhood grayscale of the peak value of the target area to obtain an upper limit threshold t2, wherein the upper limit threshold t2 represents a boundary point of the target area a transition area; and finally, carrying out equidistant equalization processing on the grayscales of histograms, and carrying out equidistant arrangement on the grayscales in a whole display range, thereby obtaining an infrared image with continuous grayscales. According to the method, through adaptively selecting thresholds of platforms, an infrared image and histogram features thereof are considered from overall and partial aspects, so that the grayscale range can be deployed integrally and piecewise so as to improve the applicability of an image, and the adaptive correction on histograms can be performed according to the characteristics of each local section so as to highlight details, therefore, an obvious enhancement effect on an original infrared image can be achieved.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to an infrared image enhancement method based on self-adaptive dual platforms. Background technique [0002] The infrared image is the imaging of the thermal radiation distribution of the scene. Since the temperature difference between the target and the background in the scene is relatively small, the most prominent feature of the infrared image is "high background and low contrast", and its signal-to-noise ratio is also lower than that of the visible light image. Therefore, in order to correctly identify the target from the infrared image and improve its signal-to-noise ratio, the infrared image must be enhanced. Histogram equalization is to adjust the gray level according to the gray level distribution information of the image to achieve the effect of image enhancement, but this method will over-amplify the background and noise that occupy more pixels, and the targ...

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 孙士保李春爱杨春蕾赵旭辉张晓玲
Owner HENAN UNIV OF SCI & TECH
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