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

Method for detecting point target in infrared image sequence

An infrared image and target detection technology, applied in the field of detection and identification of targets and point target detection in infrared image sequences, can solve the problems of inability to suppress background, reduce detection probability, and increase false alarm rate, and achieve noise elimination and low false alarm. Probability, effect of high target detection probability

Active Publication Date: 2013-11-27
SPACE STAR TECH CO LTD
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] When dealing with complex structured backgrounds, these algorithms often cannot effectively suppress the background, resulting in a decrease in detection probability and an increase in false alarm rate.

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 detecting point target in infrared image sequence
  • Method for detecting point target in infrared image sequence
  • Method for detecting point target in infrared image sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Combine below figure 1 , figure 2 , image 3 Specific embodiments of the present invention are further described in detail:

[0037] 1. Input the current frame image I, set the size of the bilateral filter to Size BL *Size BL , according to the following formula to calculate the estimated image noise standard deviation σ n .

[0038] σ n = π 2 * 1 6 * ( W - 2 ) * ( H - 2 ) * Σ imageI | I ( x , y ) * N | ...

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

Disclosed is a method for detecting a point target in an infrared image sequence. The method comprises the steps of (1) estimating a noise variance of a current frame image, adopting a bilateral filtering method to preprocess the image, (2) adopting the Robinson-Guard filtering method based on a template mid value to conduct filtering on the preprocessed image, (3) conducting binarization processing on the image, marking target points in the image, recording positional information of the target, (4) initializing parameters of a pipeline filter, (5) utilizing target positional information of first three frames for predicating the target position of the current frame, searching for the target, updating related information in a target position information sheet, conducting judgment to output the target information, and (6) repeating the steps until processing of all the images in the infrared image sequence is completed. According to the method for detecting the point target in the infrared image sequence, background suppression is effectively carried out, the false alarm probability is reduced, and the detection probability of the target is improved through the detection of the multi-frame sequence images.

Description

technical field [0001] The invention relates to a method for detecting a midpoint target in an infrared image sequence, which belongs to the field of infrared information processing and is used for detecting and identifying targets in an infrared image sequence. Background technique [0002] Infrared point target detection is one of the key technologies in applications such as precision guidance and space-based early warning. In infrared detection, the target presents a point shape at a long distance, without obvious shape information, and the amount of information on the imaging plane is very small, occupying only a few pixels, and is often submerged in the undulating background, which makes target detection and tracking very difficult. difficulty. Infrared point target detection is generally divided into three steps: background suppression, target segmentation and target detection. In the step of background suppression, the infrared image is filtered to reduce the interf...

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
IPC IPC(8): G06K9/54
Inventor 李申阳李驰郝胜勇王健
Owner SPACE STAR TECH 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