A rainfall detection method based on video image

A rainfall detection and video image technology, applied in the field of rainfall detection, can solve the problems of high system cost and large amount of calculation, and achieve the effect of low amount of calculation, high degree of automation, and intuitive effect.

Active Publication Date: 2019-01-25
HOHAI UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The prior art discloses a method for detecting rainfall using images, collecting linear array images, and realizing automatic observation of precipitation phenomena by acquiring image information of precipitati

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
  • A rainfall detection method based on video image
  • A rainfall detection method based on video image
  • A rainfall detection method based on video image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The technical solution of the present invention will be further introduced below in combination with specific implementation methods and accompanying drawings.

[0046] This specific embodiment discloses a method for rain detection based on video images, such as figure 1 shown, including the following steps:

[0047] S1: A single camera is used to collect water surface grayscale image sequences at fixed time intervals. The water surface grayscale image sequences are divided into training sample images and images to be tested. The training sample images are divided into no rain, light rain, moderate rain and heavy rain according to the amount of rainfall. Four categories and marked;

[0048] S2: The image texture is enhanced using a method based on phase consistency, and the residual image is obtained by performing a grayscale difference on two adjacent frame images after enhancement;

[0049] S3: Perform fast Fourier transform on the residual image to obtain the resid...

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 rainfall detection method based on video image, including such steps as collecting water surface gray image sequence with single camera at fixed time interval, dividing the water surface gray image sequence into training sample image and to-be-measured image, dividing training sample image into no rain, light rain, moderate rain and heavy rain according to rainfall, and marking; enhancing the image texture by adopting the method based on the phase consistency, and performing the gray difference between two frames of images at the adjacent time after the enhancement toobtain a residual image; carrying out fast Fourier transform on the residual image to obtain the residual amplitude spectrum, normalizing the residual amplitude spectrum, and extracting four features; training the SVM classifier according to the extracted residual amplitude spectrum features; using the generated SVM classifier to identify the rainfall type of the image to be measured. The invention has the advantages of small calculation amount, low cost and intuitive and easy verification.

Description

technical field [0001] The invention relates to a rain detection method, in particular to a rain detection method based on video images. Background technique [0002] As a weather phenomenon, rainfall is an important research object of global hydrothermal cycle and climate change. The abnormal temporal and spatial distribution of rainfall is an important factor that induces various natural disasters. At present, most domestic observations and inferences of rainfall phenomena use water metering cylinders, rain gauges, and rain gauges to obtain macroscopic measurement data such as the degree of precipitation, the total amount of precipitation, and the frequency of each actual precipitation. Traditional rainfall data and data are generally Obtained by rain gauges or weather radar, the most widely used is the mechanical tipping bucket rain gauge. These methods often need to be combined with manual measurement to distinguish precipitation intensity, which has a low degree of aut...

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): G06T7/00G06T7/254G06T7/41G06K9/62G01W1/14
CPCG06T7/0002G06T7/254G06T7/41G01W1/14G06T2207/20056G06T2207/10016G06T2207/30192G06F18/214G06F18/2411
Inventor 张振周扬刘海韵沈洁高红民李卓航黄彧豪肖勇罗玉莹张之露
Owner HOHAI UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap