A picture quality detection method based on machine learning

A machine learning and detection method technology, applied in the field of image recognition, can solve the problem that the quality of exposed images cannot be automatically screened and classified, and achieve the effect of saving manpower and improving efficiency

Inactive Publication Date: 2019-03-01
LUSHAN COLLEGE OF GUANGXI UNIV OF SCI & TECH
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  • Abstract
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Problems solved by technology

[0004] The present invention aims to disclose a machine learning-based picture quality detection method to solve the technical problem that the existing exposed picture quality cannot be automatically screened and classified

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  • A picture quality detection method based on machine learning

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Embodiment Construction

[0028] 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 creative efforts fall within the protection scope of the present invention.

[0029] It should be noted that the terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" a...

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Abstract

The invention discloses a picture quality detection method based on machine learning, and belongs to the field of picture recognition, and the method comprises the following steps: collecting data ofa problematic picture; performing analysis processing and classification processing according to the collected picture data; establishing a picture preliminary image quality comparison detection library for the pictures subjected to analysis processing and classification processing; extracting image quality characteristics of each image in the preliminary image quality library; establishing an image quality feature library according to the image quality features of the image; detecting the image according to the image quality feature library and the preliminary image quality library; detectingoutput results. The method comprises the following steps of: extracting feature learning from previous images with image quality function problems by using a machine learning method, quickly positioning which kind of problems belong to, performing feature learning on the images with the image quality function problems by using a deep learning technology, and classifying the learned features to obtain a deep learning model; and judging the image quality function picture of the camera by using the deep learning model and outputting a result.

Description

【Technical field】 [0001] The invention relates to the field of picture recognition, in particular to a machine learning-based picture quality detection method. 【Background technique】 [0002] With the development of society, people are more and more fond of taking pictures, but due to the difference of each person's photographing techniques, there are various problems in the pictures taken, which often cannot meet people's needs. With the development of Internet technology, pictures are widely used in more and more web pages and applications because of their advantages of intuitive expression and rich content compared with text. But the existing cameras can only take pictures of the pictures, and fail to automatically classify the pictures or classify the exposure pictures or choose handsomely, so that people can check and select each one after taking the pictures, which greatly improves the quality of the pictures. increased the workload of people. [0003] With the accel...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0002G06T2207/30168G06F18/217G06F18/24
Inventor 韦灵黎伟强倪志平崔亚楠胡艳华
Owner LUSHAN COLLEGE OF GUANGXI UNIV OF SCI & TECH
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