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Image fuzziness evaluation method and device

An evaluation method and fuzziness technology, applied in the field of image recognition, can solve the problems of inaccuracy and fuzzy evaluation error, and achieve the effect of accurate and robust image fuzzy evaluation method, and good practical value.

Active Publication Date: 2019-09-13
广智微芯(扬州)有限公司
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Problems solved by technology

Although this type of method has a better effect on the blur evaluation of the same face, the good effect is largely achieved by relying on the preset threshold, that is, currently relying on the method of calculating the sum or average of the image gradient to blur the image The evaluation of is not accurate, because of this, the error of its fuzzy evaluation of different faces is relatively large

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] Such as figure 1 As shown, it is a flowchart of an image blur evaluation method according to an embodiment of the present invention, and the method includes:

[0031] S101: Acquire an image to be evaluated, and convert the image to be evaluated into a grayscale image;

[0032] The image to be evaluated includes a human face image, and is not limited to a human face image. For the evaluation of a human face image, an image containing a human face is col...

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Abstract

The invention provides an image fuzziness evaluation method and device. The image fuzziness evaluation method comprises the steps: obtaining a to-be-evaluated image, and converting the to-be-evaluatedimage into a grayscale image; calculating a directed gradient amplitude of each pixel point of the gray level image, and obtaining a gradient amplitude matrix of the gray level image; obtaining a gradient amplitude domain of the gradient amplitude matrix according to the gradient amplitude matrix; counting the number of pixels with the amplitude of zero in the gradient amplitude matrix, obtainingthe ratio of the number of pixels with the amplitude of zero to the number of pixels corresponding to the whole gradient amplitude matrix, and taking the ratio as a zero gradient ratio; obtaining anevaluation score for evaluating the ambiguity of the to-be-evaluated image according to the gradient amplitude domain and the zero gradient ratio; and comparing the evaluation score with a set threshold, and when the evaluation score is greater than the set threshold, determining that the to-be-evaluated image is a clear image. According to the technical scheme, the image recognition accuracy is improved, and the recognition safety is ensured.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an image fuzziness evaluation method and device. Background technique [0002] Image recognition, as the first biometric technology applied by artificial intelligence, has penetrated into the lives of people all over the world. You need to scan your face to unlock your phone every day, you need to scan your face for verification when you pay with your mobile phone, you need to scan your face for attendance when you commute to and from get off work, you need to scan your face to pass when you enter and exit buildings, and so on. Image recognition has been related to the safety of personal property. Therefore, it is very important to improve the accuracy of image recognition and ensure the absolute safety of recognition. [0003] The face image is used as the input of image recognition, and its quality directly affects the recognition result. Poor quality i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00
CPCG06T7/0002G06T2207/30168G06T2207/30201G06V40/16
Inventor 王水根崔东顺孙圣金黄广斌钱兴
Owner 广智微芯(扬州)有限公司
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