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Method and device for detecting facial skin flake defect based on deep learning

A facial skin and deep learning technology, applied in computer components, image data processing, instruments, etc., can solve the problem of not being able to provide scientific and rigorous references for skin defect assessment and treatment, achieve simple and clear algorithms, and reduce false positives and missed negatives , a wide range of effects

Inactive Publication Date: 2018-11-20
北京羽医甘蓝信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the present invention provides a deep learning-based method and device for detecting flaky facial skin defects, which can solve the technical problems in the prior art that cannot provide scientific and rigorous reference for the evaluation and treatment of skin defects

Method used

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  • Method and device for detecting facial skin flake defect based on deep learning
  • Method and device for detecting facial skin flake defect based on deep learning
  • Method and device for detecting facial skin flake defect based on deep learning

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Embodiment Construction

[0028] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0029] In order to make those skilled in the art better understand, the relevant knowledge of different types of facial skin flake defects will be introduced in detail below.

[0030] (1) freckles

[0031] The freckles are light brown to black spots, the size of the needle tip to rice grains, round or oval, variable in density, distributed symmetrically in sheet-like clus...

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Abstract

The present invention provides a method and device for detecting a facial skin flake defect based on deep learning. The method comprises a step of acquiring a sample image of a marked facial skin flake defect, a step of extracting a negative image block sample of a preset size and a positive image block sample corresponding to a preset flake defect label from the sample image, a step of constructing a convolutional neural network of a facial skin flake defect classification task and then training by using a training set formed by the negative image block sample and the positive image block sample to obtain a classification model, a step of cutting an image to be tested into test image blocks of a preset size and inputting the test image blocks into the classification model to obtain a classification label and a classification confidence probability corresponding to each test image block, and a step of marking the position of a preset flake defect on the image to be tested according toclassification labels and classification confidence probabilities corresponding to all test image blocks.

Description

technical field [0001] The invention relates to the technical field of computers and software, in particular to a deep learning-based method and device for detecting flaky facial skin defects. Background technique [0002] With the improvement of living standards, the public began to pursue the beauty and health of facial skin. Common facial skin defects can be roughly divided into two types: facial skin flake defects and facial skin point defects according to shape, area and distribution. Among them, facial skin flaky defects include pigmentation (including dermal spots, age spots, freckles, and melasma), allergic flushing, red blood streaks and other skin problems with a large range and irregular shape. [0003] The existing computer image recognition technology for facial skin flake defects is mainly based on traditional algorithms. By analyzing simple morphological features, such as color and brightness, to detect facial skin flake defects, the analysis results can be o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/00
CPCG06T7/0012G06T2207/20081G06T2207/20084G06T2207/30201G06V40/172
Inventor 白海龙汪子晨徐通丁鹏
Owner 北京羽医甘蓝信息技术有限公司
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