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Video Segmentation Method and Device for Night Security Monitoring Based on Improved Genetic Algorithm

An improved genetic algorithm and security monitoring technology, applied in the field of image processing, can solve the problems of increasing the amount of calculation, single target, useless improvement of segmentation effect, etc., to achieve the effect of widening the gap and improving the segmentation effect

Active Publication Date: 2018-10-23
LUDONG UNIVERSITY
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Problems solved by technology

However, surveillance video images at night often have a single target, and the difference between pixels is not large, so this method only increases the amount of calculation but does not improve the segmentation effect.

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  • Video Segmentation Method and Device for Night Security Monitoring Based on Improved Genetic Algorithm
  • Video Segmentation Method and Device for Night Security Monitoring Based on Improved Genetic Algorithm
  • Video Segmentation Method and Device for Night Security Monitoring Based on Improved Genetic Algorithm

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Embodiment Construction

[0014] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the present invention. Invented some embodiments, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0015] See figure 1 This embodiment discloses a night security surveillance video segmentation method based on an improved genetic algorithm, including:

[0016] S1. Perform wavelet denoising processing on each frame of the night security surveillance video to be processed;

[0017] S2. Use an improved genetic algorithm to segment the denoised imag...

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Abstract

The invention discloses a night security and protection monitoring video segmentation method and device based on an improved genetic algorithm, and can improve the segmentation effect of a night security and protection monitoring video. The method comprises the following steps: S1: carrying out wavelet denoising processing on each frame of image of the night security and protection monitoring video to be processed; and S2: adopting an improved genetic algorithm to segment a denoised image, wherein the improved genetic algorithm is improved from a classic genetic algorithm, and the improvement of the improved genetic algorithm is that a pixel point is subjected to linear stretching before the fitness of the pixel point is calculated.

Description

Technical field [0001] The invention relates to the technical field of image processing, in particular to a night security monitoring video segmentation method and device based on an improved genetic algorithm. Background technique [0002] With the development of science and technology, urban safety has become a hot spot, and the establishment of urban safety nets is inseparable from various types of monitoring. However, because monitoring is often installed outdoors, the quality of the monitoring device, natural factors such as weather, and many uncertain factors such as the surrounding environment and time of the placement often cause the quality of the monitoring video to not be particularly good, especially at night. As the surrounding environment is dark, the surveillance video will become blurry. Under normal circumstances, criminal acts such as theft often occur at night. If you want to better extract information about criminals, you need to segment the video. [0003] Bl...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06N3/12
CPCG06N3/126G06T2207/10016
Inventor 岳峻牟梦媛朱华李振波李长青卞大鹏
Owner LUDONG UNIVERSITY
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