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Pulse noise detection method based on local extremum value

A technology of impulse noise and local extremum, which is applied in the field of computer vision, can solve the problem of not being able to detect impulse noise well

Inactive Publication Date: 2011-04-06
PCI TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to propose a method for detecting impulse noise based on local extremum in view of the problem that the existing video fault diagnosis system cannot detect impulse noise well

Method used

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  • Pulse noise detection method based on local extremum value

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Embodiment Construction

[0016] The function of the present invention is based on the latest OpenCV library. OpenCV is an abbreviation for "Open Source Computer Vision Library", which is an open source computer vision library from Intel. It consists of a series of C functions and a small number of C++ classes. It can realize many general algorithms in image processing and computer vision, and can be used to deal with common problems in the field of computer vision. It mainly involves the following aspects:

[0017] (1) smoothing-median filtering

[0018] (2) Convolution-convolution operation;

[0019] (3) Image difference-image difference;

[0020] In the present invention, the median filtering operation can be performed on the image through the function cvSmooth, first define the size of the filtering window, then sort all the pixel values ​​within the range covered by the filtering window, and assign the intermediate value to the current pixel value, if If the total pixel value of the filter wind...

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Abstract

The invention provides a pulse noise detection method based on a local extremum value and application of the pulse noise detection method to a video fault diagnosis system. By using the method, pulse noise in an image can be effectively and accurately detected and the false detection on the detailed information in the image can be avoided, thereby the intelligent video fault diagnosis and analysis can be realized.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a local extremum-based impulse noise detection method and the application of the method in video fault diagnosis. technical background [0002] With the rapid advancement of the safe city project across the country, the infrastructure of the video surveillance system has begun to take shape. More and more, relying on human eyes to check the fault screens one by one is very inefficient, so the importance of intelligent video fault diagnosis is becoming increasingly prominent. [0003] Impulse noise is black and white bright and dark point noise generated by image sensors, transmission channels, decoding processing, etc., which greatly reduces image quality. Therefore, impulse noise detection is a key diagnostic item in video fault diagnosis. At present, the commonly used impulse noise detection methods are median filtering method, mean filtering method and hybrid filter...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 陈吉宏冯琰一孙志强
Owner PCI TECH GRP CO LTD
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