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Target and background contrast enhancement method based on multi-channel polarization distance model

A background contrast, multi-channel technology, applied in the field of target and background contrast enhancement based on multi-channel polarization distance model, can solve problems such as poor anti-environmental interference performance, achieve fast image processing speed, simple structure, and it is not easy to misjudge the target area. Effect with background area

Active Publication Date: 2022-08-05
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Existing concepts of polarization distance are built on a two-channel polarization visual processing framework based on orthogonal adversarial interneurons, however, the limitation of the two-channel system is that it cannot always distinguish between two different polarization states, and there is polarization confusion state, poor anti-environmental interference performance

Method used

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  • Target and background contrast enhancement method based on multi-channel polarization distance model
  • Target and background contrast enhancement method based on multi-channel polarization distance model
  • Target and background contrast enhancement method based on multi-channel polarization distance model

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Embodiment Construction

[0039] In this embodiment, as figure 1As shown, a target and background contrast enhancement method based on multi-channel polarization distance model is mainly used for target detection and other tasks in scenes with high target concealment and strong environmental interference. , based on the polarization distance, a new polarization characterization quantity, a four-channel polarization distance bionic model is proposed to enhance the contrast between the target and the background. Specifically, the process is as follows:

[0040] Step 1: Obtain the polarization image I with the target at the polarization angles of 0°, 45°, 90°, and 135°, respectively 0 , I 45 , I 90 , I 135 ;

[0041] Among the polarization-sensitive organisms, there are two groups of orthogonally oriented striated muscle microvilli in the compound eye structure of a few organisms, one of which is 45° deflected relative to the other. The system has the possibility of four input channels of 0°, 45°, 9...

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Abstract

The invention discloses a method for enhancing the contrast between a target and a background based on a multi-channel polarization distance model. The steps include: 1. obtaining polarization images under different polarization angles; The G channel image in the RGB image; 4. Calculate the activity value of the simulated photoreceptor R; 5. Use the multi-channel polarization distance model to calculate the polarization distance image. The present invention can well enhance the contrast between the target and the background in the low contrast scene, thereby improving the visibility and conspicuousness of the target.

Description

technical field [0001] The invention belongs to the research field of target detection, in particular to a target and background contrast enhancement method based on a multi-channel polarization distance model. Background technique [0002] The visual system often relies on features such as shape, size, color, and contrast. Contrast vision plays an important role in biological behaviors such as detection and recognition of prey, recognition of the environment and habitat, and visual communication. In addition to color vision in nature, there is another unique vision that humans do not have - polarization vision. Compared with unpolarized light, polarized light has characteristic information in more dimensions. Targets with different materials and textures can often capture differences and distinguish them through polarization information. Some organisms can detect or even generate polarized light and use them for related visual tasks. Therefore, the polarization contrast ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/007G06T2207/10024
Inventor 王昕钟彬彬王大千杨天高隽
Owner HEFEI UNIV OF TECH
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