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

Infrared weak and small target detection method and detection system

A technology of weak and small targets and detection methods, applied in the field of image processing, can solve problems such as poor real-time performance and limitations

Pending Publication Date: 2020-10-30
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The detection theory based on image sequence is to estimate the target through the correlation in the sequence image. An important premise of this type of algorithm is to ensure the consistency between the target and the background between consecutive frames, as well as some prior target information. These premise and Prior information limits the application of this type of algorithm. In addition, the detection method based on sequence images realizes target detection through multi-frame target trajectory confirmation, which has a better effect on low signal-to-clutter ratio imaging scenes, but compared As far as the algorithm is concerned, its real-time performance is poor, and it is rarely used in practical engineering applications.

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
  • Infrared weak and small target detection method and detection system
  • Infrared weak and small target detection method and detection system
  • Infrared weak and small target detection method and detection system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] see figure 1 , the infrared weak and small target detection method provided in Embodiment 1 of the present invention, comprises the following steps:

[0057] Step S110: Calculate the Facet direction derivative feature of the original image.

[0058]In some preferred embodiments, in the step of calculating the Facet direction derivative feature of the original image, the following steps are included:

[0059] Based on the Facet model, the expression of a binary cubic polynomial f(r,c) is fitted to the gray intensity surface in the 5x5 neighborhood of the original image, the expression is as follows, where r, c are the row and column coordinates in the 5x5 neighborhood , K i is the fit coefficient:

[0060]

[0061] The formula for calculating the derivative characteristic of 0 degree direction, 90 degree direction and any α degree direction is:

[0062]

[0063] where K i It can be composed of the original image I and the convolution kernel w i Fast calculati...

Embodiment 2

[0100] see Figure 4 , a kind of infrared dim target detection system provided by the present invention, comprises: feature extraction module 110, calculates the Facet direction derivative feature of original image; Saliency value acquisition module 120, in the part of described Facet direction derivative feature map, along Calculating the relative range contrast saliency map according to the current direction; the image fusion module 130 fuses the relative range contrast saliency maps in each direction to obtain a saliency image; and the target extraction module 140 extracts the target of the saliency image .

[0101] The working mode of each module is described in detail below.

[0102] In some preferred embodiments, the feature extraction module 110 includes: based on the Facet model, an expression of a binary cubic polynomial f(r,c) is fitted to the gray intensity surface in the 5x5 neighborhood of the original image, the expression The formula is as follows, where r and...

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 an infrared weak and small target detection method and detection system. The infrared weak and small target detection method comprises the following steps: calculating Facet directional derivative characteristics of an original image; in the local of a Facet direction derivative characteristic pattern, calculating a relative range contrast saliency map along the current direction; fusing the relative range contrast saliency maps in each direction to obtain a saliency image; and extracting a target of the saliency image. According to the infrared weak and small target detection method and detection system, the model structure is simple; the calculation complexity is low; approximate calculation can be carried out based on a convolution kernel; the operation is very convenient; the signal-to-clutter ratio gain and the background suppression capability are very high; the correct detection probability of the weak target reaches 98% or above; and the real-time algorithm is good.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for detecting small and weak infrared targets. Background technique [0002] With the development of infrared detection technology, infrared weak target detection technology in complex background is becoming more and more important in military and civilian fields. How to quickly and accurately find targets has become the key to early warning and tracking systems. However, due to the influence of factors such as no shape or edge information, low signal-to-noise ratio imaging, and complex backgrounds, the infrared weak and small targets greatly increase the difficulty of detection. [0003] At present, there are two main types of detection technologies for small infrared targets: image sequence-based detection and single-frame image-based detection. The detection theory based on image sequence is to estimate the target through the correlation in the se...

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): G06T7/00G06T7/136
CPCG06T7/0002G06T7/136G06T2207/10048G06T2207/20221
Inventor 吴志佳陈小林李荅群王雨青
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com