Infrared weak and small target detection method based on space-time joint local contrast

A technology of local contrast, weak and small targets, applied in computer parts, image enhancement, image analysis, etc., can solve the problems of low robustness of detection scenes, difficult to take into account detection accuracy and detection speed, etc., to suppress background clutter , suppress cluttered background, enhance the effect of target contrast

Active Publication Date: 2020-04-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The combined method of air domain information and time domain information proposed in this program solves the problem that the existing methods are not robust to the detection scene of small and weak infrared targets, and it is difficult to balance the detection accuracy and detection speed.

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 based on space-time joint local contrast
  • Infrared weak and small target detection method based on space-time joint local contrast
  • Infrared weak and small target detection method based on space-time joint local contrast

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] The existing methods have the problems of low scene robustness and difficulty in balancing detection accuracy and detection speed, so that the algorithm can achieve high detection rate and low false alarm rate in different complex scenes; therefore, this application A method of combining spatial information and temporal information is proposed to overcome the above problems, the details are as follows:

[0073] A method for detecting infrared dim and small targets based on joint space-time local contrast, comprising the following steps:

[0074] Step 1: Establish a sliding window of 3×3 size in space, traverse the kth frame image of the original sequence image, and obtain the spatial local contrast (Spatial Local Contrast, SLC) response map of the kth frame image through spatial filtering;

[0075] Usually, a window of 3×3 is selected. Other sizes 5×5 and 7×7 are of little significance for research, because the outermost pixels are far from the center. Sizes such as 2×2...

Embodiment 2

[0080] Based on Embodiment 1, how to refine the local contrast filtering in the space domain, the local contrast filtering in the time domain and the fusion method of the two are considered in this method. The details are as follows:

[0081] As shown in the flowchart, step 1 includes the following steps:

[0082] Step 1.1: Construct a sliding window of size 3×3;

[0083] Step 1.2: The mean of the central block T is expressed as

[0084]

[0085] Among them, s*s represents the size of the central block T, the size of the sliding window is three times the size of the central block, (m, n) represents the coordinates of the central pixel of the central block T, (i, j) represents the pixel in the central block T The coordinates, k represents the image of the kth frame;

[0086] For the size of the sliding window to be three times the size of the central block, the size of the central block T can be adjusted according to the size of the target. Then the size of the entire sli...

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 discloses an infrared weak and small target detection method based on space-time joint local contrast, and relates to the field of infrared image processing and weak and small target detection. The method comprises the following steps: S1, constructing a sliding window with the size of 3*3, traversing a kth frame of image of an original sequence image, and obtaining a spatial domainlocal contrast response graph of the kth frame of image through spatial domain filtering; S2, calculating a variance value St of a continuous frame image, and obtaining a time domain local contrast response graph of the kth frame of image through time domain filtering in combination with variance value images of three adjacent frames of images; and S3, performing normalization processing on the time domain detection result and the space domain detection result, and combining the time domain detection result and the space domain detection result in a multiplicative fusion mode to obtain a space-time joint local contrast response of the kth frame of image. According to the method, spatial information and time information are fully utilized, the problems of low infrared weak and small targetdetection precision, scene robustness and the like caused by an existing method are solved, the detection performance and the low false alarm rate in infrared weak and small target detection under a complex background are improved, and the robustness of an algorithm is improved.

Description

technical field [0001] The invention relates to the field of infrared image processing and weak and small target detection, in particular to an infrared weak and small target detection method based on space-time joint local contrast. Background technique [0002] With the development of infrared thermal imaging technology, infrared target detection has received more and more attention in automatic target recognition. It has the advantages of all-weather operations, wide night vision range, clear imaging, high accuracy, camouflage recognition and anti-jamming, etc. It is widely used in military and civilian fields, such as precision guidance, early warning, geological analysis and industrial defect detection. Especially in the application in the military field, with the development of radar and infrared stealth technology, the detectability of flying targets in the air is getting lower and lower. It is crucial to detect and confirm the target in time to provide sufficient de...

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): G06K9/00G06K9/32G06T5/00G06T5/20
CPCG06T5/002G06T5/008G06T5/20G06T2207/10048G06T2207/20024G06V20/10G06V10/25G06V2201/07
Inventor 彭真明彭闪柳杨黄彪王警予胡峻菘韩雅琪杨璐且若辰何劲辉杨春平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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