Supercharge Your Innovation With Domain-Expert AI Agents!

Night security and protection monitoring video segmentation method and device based on improved genetic algorithm

An improved genetic algorithm and security monitoring technology, which is 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: 2016-11-16
LUDONG UNIVERSITY
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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.

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
  • Night security and protection monitoring video segmentation method and device based on improved genetic algorithm
  • Night security and protection monitoring video segmentation method and device based on improved genetic algorithm
  • Night security and protection monitoring video segmentation method and device based on improved genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0015] see figure 1 , this embodiment discloses a night security monitoring 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. Using an improved genetic algorithm to segment the image after denoising, wherein ...

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 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 security has become a hot topic, and the establishment of an urban security network is inseparable from various types of monitoring. However, because the monitoring is often installed outdoors, many uncertain factors such as the quality of the monitoring device, natural reasons such as weather, and the surrounding environment and time of the location often lead to the quality of the monitoring video not being particularly good, especially at night. Since the surrounding environment is dark, the surveillance video will become blurred. Usually, crimes such as theft often occur at night. If you want to better extract the information of criminals, you need to segment the video. [0003] ...

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): G06T7/00G06N3/12
CPCG06N3/126G06T2207/10016
Inventor 岳峻牟梦媛朱华李振波李长青卞大鹏
Owner LUDONG UNIVERSITY
Features
  • R&D
  • 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