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Method and system for determining image definition based on deep learning algorithm

A technology of image clarity and deep learning, applied in the field of deep learning

Pending Publication Date: 2020-06-05
来康生命科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a method and system for determining image clarity based on a deep learning algorithm to solve the problem of how to automatically determine image clarity

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  • Method and system for determining image definition based on deep learning algorithm
  • Method and system for determining image definition based on deep learning algorithm
  • Method and system for determining image definition based on deep learning algorithm

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Embodiment Construction

[0046] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0047] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The invention discloses a method and system for determining image sharpness based on a deep learning algorithm, and the method comprises the steps: obtaining an original face image data set comprisinga tongue region, and carrying out the marking of sharpness; performing data enhancement processing on the labeled original face image data set to obtain a face image data set subjected to data enhancement; building a deep network on the basis of a framework of a residual error network; establishing an association relationship between an optimizer and the residual network to form an image definition judgment model, and training and testing the image definition judgment model by using the face image data set subjected to data enhancement to determine a trained image definition judgment model; and preprocessing a to-be-detected face image containing the tongue region, and analyzing the preprocessed face image by using the trained image definition judgment model to determine the image definition of the to-be-detected face image containing the tongue region.

Description

technical field [0001] The present invention relates to the technical field of deep learning, and more specifically, to a method and system for determining image clarity based on a deep learning algorithm. Background technique [0002] With the rapid development of computer vision and deep learning, it has also promoted the progress of image analysis in the field of traditional Chinese medicine. In order to realize intelligent face-tongue diagnosis, there is a high requirement for the clarity of the images of the face and tongue taken by the doctor. Therefore, it is necessary to make fuzzy judgments on the images before diagnosis to improve the accuracy of face-tongue diagnosis. The traditional image processing scheme or the scheme of feature engineering plus machine learning classification has the following problems, including: a. It is difficult to extract image features; b. Manually screened features and the model trained by traditional machine learning has poor generaliz...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06K9/00G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10028G06T2207/20081G06T2207/20172G06T2207/30004G06V40/171G06V40/161G06N3/045G06T5/00
Inventor 柴胜杨强刘华根何韦澄王玉鑫
Owner 来康生命科技有限公司
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