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A Multi-scale Infrared Target Adaptive Detection Method Based on Visual Receptive Field

An adaptive detection, infrared target technology, applied in the field of computer vision, can solve the problems of poor infrared target robustness, inability to detect surface targets, complex infrared image background clutter, etc. The ability of clutter interference, the effect of reducing the amount of calculation

Active Publication Date: 2019-02-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
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  • Application Information

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Problems solved by technology

[0002] In the field of infrared target detection, there are currently two main problems: (1) Due to the interference of smoke, clouds, the relative movement of the target and the carrier, and human factors, the background clutter in the infrared image is increasingly complex
[0003] Although the existing target detection algorithms based on human vision mechanism have made significant progress in improving the robustness of infrared target detection algorithms, background clutter and noise suppression capabilities, there are still some limitations.
For example: the document "Infrared dim target detection based on visual attention, InfraredPhys.Technol.55, 513-521 (2012)" proposes a method for detecting weak and small infrared targets based on the visual attention mechanism. Although the detection accuracy and speed are high, this method only It is suitable for small infrared targets and cannot detect surface targets
The literature "Small target detection utilizing robust methods of the human visual system for IRST, J Infrared Millim Terahertz Waves. 30, 994–1011 (2009)" proposed a target detection method based on the Human Visual System (HVS) contrast mechanism, although compared to Traditional detection algorithms have made some progress, but their robustness in detecting infrared targets in complex backgrounds is poor

Method used

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  • A Multi-scale Infrared Target Adaptive Detection Method Based on Visual Receptive Field
  • A Multi-scale Infrared Target Adaptive Detection Method Based on Visual Receptive Field
  • A Multi-scale Infrared Target Adaptive Detection Method Based on Visual Receptive Field

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Embodiment 1

[0052] A multi-scale infrared target adaptive detection method based on the visual receptive field disclosed in this embodiment includes the following steps:

[0053] Step 1: Calculate the orientation information distribution map.

[0054] Using the Sobel edge detector to calculate the difference operator method, weight the gray value of the upper, lower, left and right neighborhoods of each pixel in the image, and then calculate the gradient direction θ of the image through the difference, as in the formula ( 9) Obtain the orientation information distribution map of each pixel.

[0055]

[0056] Among them, the partial derivative f of the Sobel edge detection operator along the x and y directions x and f y The expression of is as formula (10):

[0057]

[0058] The gradient direction θ of each point of the image is used in the input part of the Gabor filter direction parameter in step 3.

[0059] Take pixel points (8,9) and (126,189) as examples to illustrate the sp...

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Abstract

The invention discloses a multiscale infrared target adaptive detection method based on the visual reception field, relates to a multiscale infrared target adaptive detection method, and belongs to the technical field of machine vision. A calculation differential operator of an edge detector is used to calculate the gradient direction theta of an image, and an orientation information distribution map of pixel points is obtained; a local background is predicted according to background information similar to local characteristic in the infrared image; a mathematical model Gabor filter in the simple cell reception field is used to filter an object image, an object is detected preliminarily, and a direction parameter theta of the Gabor filter is determined adaptively by orientation information distribution of the pixel points; and the gray scales of the pixel points are adjusted to obtain a background inhibited and object enhanced image, and the detection precision is improved. According to the invention, the robustness, anti-interference capability and adaptability, to different scales of object, of the infrared object detection method can be improved, and the operand is low.

Description

technical field [0001] The invention relates to a multi-scale infrared target adaptive detection method, in particular to a multi-scale infrared target adaptive detection method based on a visual receptive field, and belongs to the technical field of computer vision. Background technique [0002] In the field of infrared target detection, there are currently two main problems: (1) Due to the interference of smoke, clouds, the relative movement of the target and the carrier, and human factors, the background clutter in the infrared image is becoming more and more complex. (2) In general, when the target distance is far away, it appears as a small target, and when the target distance is relatively close, it appears as a surface target. Therefore, in order to accurately identify and track infrared targets under moving conditions, the infrared target detection algorithm needs to be applicable to both small targets and area targets. However, the current conventional infrared tar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13
CPCG06T2207/10048G06T2207/20004G06T2207/20024G06T2207/20228
Inventor 宋勇赵尚男赵宇飞李云郝群
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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