Image detection method and device
An image detection, abnormal image technology, applied in the field of image processing, can solve the problem of low accuracy of abnormal images
Active Publication Date: 2014-12-24
ZHEJIANG DAHUA TECH CO LTD
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[0006] The embodiment of the present invention provides an image detection method and device to solve the problem of low accuracy of detected abnormal images caused by manual detection of images
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[0022] In the existing image detection process, due to the large amount of manual participation and the influence of human subjective judgment factors, the detection accuracy of abnormal images is low. Based on this problem, an embodiment of the present invention provides an image detection method and device, which uses the relevant data of the Y component, U component, and V component in the image to be detected to calculate the contrast evaluation value of the image to be detected, and then according to the contrast evaluation value to further determine whether the image to be detected is abnormal. Using the aforementioned detection method, the above process can be realized through software programs, reducing manual participation, that is, reducing human subjective interference factors, and improving the accuracy and speed of detection.
[0023] The specific implementation manners of an image detection method and device provided in the embodiments of the present invention wi...
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The embodiment of the invention provides an image detection method and device. The image detection method comprises the steps that an image to be detected is obtained, the pixel point numbers corresponding to the pixel value of each Y component, the pixel value of each U component and the pixel value of each V component in the obtained image to be detected are counted, and a histogram array of the Y components, the U components and the V components of the image to be detected is obtained; the contrast estimation value of the image to be detected is calculated according to the obtained histogram array and the height and the width of the image to be detected; if the contrast estimation value worked out is not larger than a set threshold value, the image to be detected is determined as an abnormal image. According to the image detection method and device, the contrast estimation value of the image is calculated through the related data of the Y components, the U components and the V components of the image, and then whether the image is abnormal or not is determined according to the contrast estimation value. The image detection method and device can be realized through software programs, reduce artificial interference and are high in detection accuracy.
Description
technical field [0001] The invention relates to the field of image processing, in particular to an image detection method and device. Background technique [0002] At present, with the development of image processing technology, people have higher and higher requirements for the visual effect of images, and the key factor affecting the visual effect of images is image contrast. The so-called image contrast refers to the brightest and darkest areas in an image. The measurement of different brightness levels between white and the darkest black refers to the size of the grayscale contrast of an image. The larger the contrast, the higher the image contrast, the clearer the image shown to people, and it is usually considered a normal image; A small value means the lower the image contrast, the less clear the image will appear to people, and it is generally considered to be an abnormal image. [0003] In order to provide people with images with better visual effects, it is often ...
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IPC IPC(8): H04N17/00H04N17/02
Inventor 潘晖潘石柱张兴明傅利泉朱江明吴军吴坚
Owner ZHEJIANG DAHUA TECH CO LTD