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

A Small Target Infrared Image Processing Method Based on Weighted Local Image Entropy

A technology of infrared image processing and partial image, which is applied in image data processing, image enhancement, instruments, etc., to achieve the effects of improving signal-to-noise ratio, reducing false alarm probability, and improving detection probability

Active Publication Date: 2017-01-25
WUHAN ZHONGKE IND RES INST OF MEDICAL SCI CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although many achievements have been made in the field of small target infrared image processing, and many algorithms have been well realized in engineering applications, the target detection system engineering is still facing challenges for small target infrared images with low signal-to-noise ratio in complex backgrounds. great difficulty and complexity

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
  • A Small Target Infrared Image Processing Method Based on Weighted Local Image Entropy
  • A Small Target Infrared Image Processing Method Based on Weighted Local Image Entropy
  • A Small Target Infrared Image Processing Method Based on Weighted Local Image Entropy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] figure 1 This method mainly includes the following steps: image input, multi-scale gray difference operator solution, local image entropy operator solution, dot product operation, adaptive threshold solution, and binarization.

[0037] Specifically:

[0038] Step 1, input an infrared image, and solve the multi-scale gray difference D of the image:

[0039] Infrared images of small targets generally consist of three parts: target, background and noise. The imaging size of a small target is generally less than 80 pixels, that is, less than 0.12% of 256×256, so the target has no characteristics such as size, shape and texture, but it is different from the background and noise in terms of gray value, frequency and correlation. . The core idea of ​​the multi-scale grayscale difference operator (D) is to use the grayscale difference between the target area and the target neighborhood in the small target infrared image to suppress the background and enhance the target throu...

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

In order to effectively process small target infrared images under the low signal to noise ratio complex background, the invention discloses a small target infrared image processing method based on the weighing local image entropy and relates to the technical field of digital image processing. Inherent features of the small target infrared images are utilized, a multi-scale gray difference operator and a local image entropy operator are provided, the weighing local image entropy is obtained through the dot product operation, so that the infrared image background and the noise are effectively restrained, a target is enhanced, and finally the signal to noise ratio of the images is greatly improved.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a small target infrared image processing method based on weighted local image entropy. Background technique [0002] Small target infrared image processing technology has been used in civilian fields (such as satellite atmospheric infrared cloud image analysis, infrared medical image pathological analysis, geological analysis, sea surface personnel search and rescue, intrusion detection, forest fire detection) and military fields (such as precision guidance, early warning detection, battlefield Command and reconnaissance, friend-or-foe identification) are widely used, and its target detection step is the focus and difficulty in the field of infrared image processing, and its performance directly determines the effective range of the infrared system and the complexity of the equipment, so the research on this technology has received Many scholars at home and abroa...

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 Patents(China)
IPC IPC(8): G06T5/20
Inventor 周欣邓鹤孙献平叶朝辉刘买利
Owner WUHAN ZHONGKE IND RES INST OF MEDICAL SCI CO LTD
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