CN111566693A - 一种皱纹检测方法及电子设备 - Google Patents

一种皱纹检测方法及电子设备 Download PDF

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CN111566693A
CN111566693A CN201880085477.0A CN201880085477A CN111566693A CN 111566693 A CN111566693 A CN 111566693A CN 201880085477 A CN201880085477 A CN 201880085477A CN 111566693 A CN111566693 A CN 111566693A
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wrinkle
detected
image
electronic device
preset
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CN111566693B (zh
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胡宏伟
董辰
丁欣
郜文美
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Honor Device Co Ltd
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Huawei Technologies Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image
    • G06T3/40—Scaling the whole image or part thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image
    • G06T3/60—Rotation of a whole image or part thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30088—Skin; Dermal
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30242—Counting objects in image

Abstract

一种皱纹检测方法及电子设备，该方法旋转人脸图像中需要检测皱纹的区域得到多个待检测图像，通过在每个不同角度的待检测图像中分别根据像素点的灰度值从全部像素点中确定皱纹点，并根据皱纹点确定至少一条皱纹线，此后，电子设备可在需要检测皱纹的区域显示皱纹线，其中，每条皱纹线指示待检测图像中的一条皱纹。采用以上方法，电子设备可分别在具有不同旋转角度的待检测图像中检测皱纹，有助于提高对于不同走向的皱纹进行检测时的检测精度。

Description

PCT国内申请，说明书已公开。

Claims (16)

  1. PCT国内申请，权利要求书已公开。
CN201880085477.0A 2018-07-16 2018-09-18 一种皱纹检测方法及电子设备 Active CN111566693B (zh)

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CN201810776285 2018-07-16
CN2018107762856 2018-07-16
PCT/CN2018/106242 WO2020015149A1 (zh) 2018-07-16 2018-09-18 一种皱纹检测方法及电子设备

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EP (1) EP3809361B1 (zh)
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Publication number Priority date Publication date Assignee Title
CN111199171B (zh) * 2018-11-19 2022-09-23 荣耀终端有限公司 一种皱纹检测方法和终端设备
CN111353490B (zh) * 2020-02-28 2023-10-31 创新奇智(重庆)科技有限公司 发动机编号牌质量分析方法、装置、电子设备及存储介质
CN111767846A (zh) * 2020-06-29 2020-10-13 北京百度网讯科技有限公司 图像识别方法、装置、设备和计算机存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101916370A (zh) * 2010-08-31 2010-12-15 上海交通大学 人脸检测中非特征区域图像处理的方法
CN103827916A (zh) * 2011-09-22 2014-05-28 富士胶片株式会社 皱纹检测方法、皱纹检测装置和皱纹检测程序以及皱纹评估方法、皱纹评估装置和皱纹评估程序
JP5528692B2 (ja) * 2008-11-17 2014-06-25 株式会社 資生堂 シワ評価方法、シワ評価装置、シワ評価プログラム、及び該プログラムが記録された記録媒体
CN105310652A (zh) * 2014-06-09 2016-02-10 松下知识产权经营株式会社 皱纹检测装置和皱纹检测方法
CN107158570A (zh) * 2017-05-11 2017-09-15 柳华荣 一种软组织修复系统
CN107330370A (zh) * 2017-06-02 2017-11-07 广州视源电子科技股份有限公司 一种额头皱纹动作检测方法和装置及活体识别方法和系统

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015232746A (ja) * 2014-06-09 2015-12-24 パナソニックＩｐマネジメント株式会社 皺検出装置および皺検出方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5528692B2 (ja) * 2008-11-17 2014-06-25 株式会社 資生堂 シワ評価方法、シワ評価装置、シワ評価プログラム、及び該プログラムが記録された記録媒体
CN101916370A (zh) * 2010-08-31 2010-12-15 上海交通大学 人脸检测中非特征区域图像处理的方法
CN103827916A (zh) * 2011-09-22 2014-05-28 富士胶片株式会社 皱纹检测方法、皱纹检测装置和皱纹检测程序以及皱纹评估方法、皱纹评估装置和皱纹评估程序
CN105310652A (zh) * 2014-06-09 2016-02-10 松下知识产权经营株式会社 皱纹检测装置和皱纹检测方法
CN107158570A (zh) * 2017-05-11 2017-09-15 柳华荣 一种软组织修复系统
CN107330370A (zh) * 2017-06-02 2017-11-07 广州视源电子科技股份有限公司 一种额头皱纹动作检测方法和装置及活体识别方法和系统

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CN111566693B (zh) 2022-05-20
EP3809361A4 (en) 2021-08-11
US20210327058A1 (en) 2021-10-21
EP3809361B1 (en) 2023-01-25
WO2020015149A1 (zh) 2020-01-23
US11941804B2 (en) 2024-03-26
EP3809361A1 (en) 2021-04-21

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