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

Image automatic detection method and apparatus

An automatic detection and image technology, applied in the field of image processing, can solve problems such as difficult traversal, difficult strength testing, low efficiency, etc., to achieve the effect of increasing capacity and reducing manpower input

Active Publication Date: 2008-05-21
ZTE CORP
View PDF0 Cites 42 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This mode of work has defects such as low efficiency, difficulty in traversing all test items related to images in the system test procedure each time, and difficulty in continuous strength testing

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
  • Image automatic detection method and apparatus
  • Image automatic detection method and apparatus
  • Image automatic detection method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The core idea of ​​the present invention is: connect the analog video output of the equipment under test (such as image codec equipment) to the video input port of the automatic image detection device, and extract the YUV (brightness, chroma, color saturation) component through video sampling According to the analysis algorithm of the main control program, the YUV component is analyzed to determine whether there is an abnormality. If the main control module finds an abnormality, it will drive the relevant circuit to trigger the alarm device.

[0034] Common image anomalies include the following: blue screen (the entire image is blue), gray screen (the entire image is gray), black screen (the entire image is black), image freeze (the entire image appears as the same picture for a period of time), image interruption (no analog signal) and image mosaic (partial or entire image mosaic), image left and right or upside down and other bit errors.

[0035] The following detecti...

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 an image automatic detection method and apparatus to test coding and decoding devices. The method comprises that the following steps: (a) obtaining samples of analog video streaming from the output of the tested coding and decoding device; (b) extracting YUV component to get YUV image from the video image after sampling; (c) comparing YUV image with reference image to get the result of analysis, and judge if the current video image is abnormal according to the result. If the current image is abnormal, an alarm is triggered; if else, the testing procedure is continued. The device comprises a video sampling module, a YUV component exacting module, a testing module, a main controlling module, and an alarm module. The invention can test abnormal images such as a blue screen, a gray screen, a black screen, image freeze, image interruption, and a mosaic image automatically. The invention has the advantages of providing useful method in automation testing for image coding and decoding devices, and testing the operating situation of the coding and decoding device automatically.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image automatic detection method and device. Background technique [0002] In the process of system testing of image coding and decoding equipment, the traditional detection method for the abnormal phenomenon of the image decoded by the decoding equipment is carried out by means of manual testing, as shown in Figure 1. This mode of work has defects such as low efficiency, difficulty in traversing all test items related to images in the system test procedure each time, and difficulty in continuous strength testing. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a method for automatic image detection to complete automatic detection of decoded images without relying on human eye detection. [0004] In order to solve the above problems, the present invention provides a method for automatic image detection, which is us...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N17/00G06T7/20
Inventor 张学英王佳音南虹邓兴健
Owner ZTE CORP
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