Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Abnormality detection method for bluish captured image

An anomaly detection and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as failure to diagnose faults in time, spending a lot of time and energy, and achieve less time and energy consumption, and low human and material resources consumption. Effect

Inactive Publication Date: 2016-07-13
浙江合腾信息科技有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two methods are purely relying on manpower, need to spend a lot of time and energy, and cannot guarantee the timely diagnosis of faults

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
  • Abnormality detection method for bluish captured image
  • Abnormality detection method for bluish captured image
  • Abnormality detection method for bluish captured image

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0024] A method for detecting an abnormality in which a captured image is bluish in the present invention judges the abnormality by analyzing the pixel feature of the B channel in the RGB format color image generated by the capturing device. The B channel is the blue channel, which specifically includes the following step:

[0025] Step 1: Divide the pixel value interval [0,255] into four small areas on average: A1=[0,64], A2=[64,128], A3=[128,192], A4=[192,255], the embodiment of the present invention chooses one A color image in RGB format generated by a capture device;

[0026] Step 2: Count the sum of the number of pixels in the image whose blue channel values ​​are in the four small areas of A1-A4, and calculate the ratio of the sum to the total number of pixels in the entire image, and the results are respectively recorded as: R1, R2, R3, R4, wherein R1=5%, R2=38%, R3=48%, R4=9%;

[0027] Step 3: According to the results obtained in step 2), it shows that R2>>R1 and R2...

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 relates to an abnormality detection method for a bluish captured image. The abnormality detection method can detect the abnormality of the occurrence of a bluish image by analyzing pixel point features of a B channel in the color image in the format of RGB generated by a capture device. Through the above technology, the invention can carry out a timely failure diagnosis of the device of a capture system by analyzing the pixel point features of the B channel of the color image in the format of RGB generated by the device and by analyzing the captured image in a non-power-off state. The abnormality detection method is timely and highly efficient, saves human and material resources, takes less time and energy, and is highly efficient, intelligent, scientific, and suitable for promotion and application.

Description

technical field [0001] The invention relates to the technical field of image anomaly detection, in particular to an anomaly detection method for detecting whether a captured image is bluish by analyzing image color information. Background technique [0002] The equipment in the vehicle capture system is working outdoors, with the characteristics of uninterrupted operation, heavy workload, and harsh working environment. In addition to the situation of man-made damage to the equipment, the equipment is affected by many factors of itself and the outside world, which will lead to frequent failures. How to diagnose the faults of the equipment of the capture system in a timely, efficient and non-stop state is a problem that traffic information managers need to solve urgently. [0003] At this stage, the diagnosis of capture device failures still relies on the tedious and simple way of manpower. Generally, there are two ways: the first way is to check the image database collected...

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): G06T7/40
CPCG06T2207/30248
Inventor 李剑峰
Owner 浙江合腾信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com