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A method and device for detecting a random abnormal blinking dot

A point detection and anomaly technology, applied in TV, color TV parts, electrical components, etc., can solve the problems of low accuracy and detection efficiency, achieve accurate detection results, improve accuracy and detection efficiency

Active Publication Date: 2015-03-18
ZHEJIANG DAHUA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The embodiment of the present invention provides a random abnormal flicker point detection method and device to solve the problem of low accuracy and low detection efficiency in the detection of random abnormal flicker points in video images existing in the prior art

Method used

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  • A method and device for detecting a random abnormal blinking dot
  • A method and device for detecting a random abnormal blinking dot
  • A method and device for detecting a random abnormal blinking dot

Examples

Experimental program
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Embodiment 1

[0054] figure 2 It is a flowchart of a random abnormal flicker point detection method provided in Embodiment 1 of the present invention, specifically including the following processing steps:

[0055] Step 201. Obtain a video image to be detected from the video to be detected.

[0056] Step 202, using the background frame difference method to determine the frame difference image between the video image to be detected and its previous frame video image, specifically as follows:

[0057] The difference between the brightness value of each pixel in the video image to be detected and the brightness value of the pixel at the same pixel position in the video image of the previous frame is determined as the difference between the frame difference image and the video image to be detected The brightness values ​​of the pixels with the same pixel positions are used to obtain the frame difference image.

[0058] After obtaining the frame difference image between the video image to be ...

Embodiment 2

[0077] image 3 It is a flowchart of a random abnormal flicker point detection method provided in Embodiment 2 of the present invention, specifically including the following processing steps:

[0078] Step 301, acquiring a video image to be detected from the video to be detected;

[0079] Step 302, using the background frame difference method to determine the frame difference image between the video image to be detected and its previous frame video image, specifically as follows:

[0080] The difference between the brightness value of each pixel in the video image to be detected and the brightness value of the pixel at the same pixel position in the video image of the previous frame is determined as the difference between the frame difference image and the video image to be detected The brightness values ​​of the pixels at the same pixel position are used to obtain the frame difference image.

[0081] After obtaining the frame difference image between the video image to be d...

Embodiment 3

[0104] In the embodiment of the present invention, the video image to be detected is acquired from the video image to be detected, and based on the frame difference image between the video image to be detected and its previous frame video image, after determining the flickering point in the video image to be detected, the Step 103 uses a preset extraction method to extract the brightness feature information of the flicker point of the video image to be detected. Specifically, the following three methods can be used. In Embodiment 3 of the present invention, the three methods are described in detail through the following specific processing flow.

[0105] The first way, such as Figure 4 As shown, it specifically includes the following processing steps:

[0106] Step 401, determine the brightness value G(x i ,y i ), the brightness average value G4(x i ,y i ), and the average brightness G8(x i ,y i ).

[0107] Among them, i is the ith flickering point of the video image t...

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Abstract

The invention discloses a method and device for detecting a random abnormal blinking dot, the method comprising: obtaining a video image to be detected from a video to be detected; determining a blinking dot in the video image to be detected, based on a frame difference image between the video image to be detected and a former frame of video image; extracting brightness characteristic information of the blinking dot of the video image to be detected by a preset extracting manner; matching the brightness characteristic information and classification characteristic information to obtain a matching result, the classification characteristic information being determined by a plurality of brightness characteristic information obtained correspondingly by an advance extraction of a plurality of random abnormal blinking dots by a preset extracting manner; and determining whether the blinking dot of the video image to be detected is a random abnormal blinking dot in accordance with a fact about whether the matching result satisfies a preset matching condition. The method and the device provided in the invention improve the accuracy and the detecting efficiency of detecting a random abnormal blinking dot as compared with the prior art.

Description

technical field [0001] The invention relates to the field of video analysis and video monitoring, in particular to a random abnormal flicker point detection method. Background technique [0002] In the video surveillance system, due to the influence of factors such as the external environment, line aging, and equipment failures, the brightness information of some pixels in the video image is significantly higher or lower than the surrounding pixels, resulting in some Obvious flickering points seriously affect the visual effect and image quality of video images. Therefore, it is necessary to adopt effective means to detect random abnormal flickering points in video images, and determine the distribution density and distribution of random abnormal flickering points. [0003] The existing video random abnormal flicker point detection method adopts the mode of manual guarding, and the watchman observes the video, and the human eyes can find out whether there are abnormal flicke...

Claims

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Application Information

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IPC IPC(8): H04N5/14H04N7/18
Inventor 胡逢法潘晖定志峰潘石柱张兴明傅利泉朱江明吴军吴坚
Owner ZHEJIANG DAHUA TECH CO LTD