MX352237B - Metodo, aparato y dispositivo para segmentar imagen. - Google Patents

Metodo, aparato y dispositivo para segmentar imagen.

Info

Publication number
MX352237B
MX352237B MX2015002246A MX2015002246A MX352237B MX 352237 B MX352237 B MX 352237B MX 2015002246 A MX2015002246 A MX 2015002246A MX 2015002246 A MX2015002246 A MX 2015002246A MX 352237 B MX352237 B MX 352237B
Authority
MX
Mexico
Prior art keywords
probability
head
background
image
shoulder
Prior art date
Application number
MX2015002246A
Other languages
English (en)
Other versions
MX2015002246A (es
Inventor
Wang Lin
Chen Zhijun
Xu Xiaozhou
Original Assignee
Xiaomi Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Publication of MX2015002246A publication Critical patent/MX2015002246A/es
Publication of MX352237B publication Critical patent/MX352237B/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/143—Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • 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
    • 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
    • G06V40/172—Classification, e.g. identification
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/222—Studio circuitry; Studio devices; Studio equipment
    • H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/272—Means for inserting a foreground image in a background image, i.e. inlay, outlay
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/14—Systems for two-way working
    • H04N7/15—Conference systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155—Bayesian classification
    • 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
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • 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
    • G06V40/162—Detection; Localisation; Normalisation using pixel segmentation or colour matching

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Signal Processing (AREA)
  • Software Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)

Abstract

La presente divulgación se refiere a un método, un aparato y un dispositivo para segmentar imagen, el cual pertenece al campo de la tecnología de procesamiento de imágenes; el método incluye: calcular una probabilidad a priori de la aparición de un primer plano de cabeza-hombros en cada píxel en una imagen que tiene un tamaño preestablecido de acuerdo con un resultado de posicionamiento de puntos de contorno exterior del rostro; seleccionar píxeles muestra de primer plano de cabeza-hombros y píxeles muestra de fondo de una imagen que se va a segmentar de acuerdo con la probabilidad a priori, y un umbral de probabilidad de primer plano de cabeza-hombros y un umbral de probabilidad de fondo establecidos por anticipado; calcular una primera probabilidad de color del primer plano de cabeza-hombros y una segunda probabilidad de color del fondo de acuerdo con los vectores de característica de color de los píxeles muestra del primer plano de cabeza-hombros y píxeles muestra de fondo; calcular una primera probabilidad a posteriori del primer plano de cabeza-hombros y una segunda probabilidad a posteriori del fondo de acuerdo con la probabilidad a priori, la primera probabilidad de color y la segunda probabilidad de color; y ejecutar segmentación de cabeza-hombros en la imagen que se va a segmentar de acuerdo con la primera probabilidad a posteriori y la segunda probabilidad a posteriori; debido a que la segmentación de imagen está basada en la probabilidad a priori y la probabilidad de color, la precisión de la segmentación es alta.
MX2015002246A 2014-07-23 2014-11-19 Metodo, aparato y dispositivo para segmentar imagen. MX352237B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201410353140.7A CN104156947B (zh) 2014-07-23 2014-07-23 图像分割方法、装置及设备
PCT/CN2014/091643 WO2016011745A1 (zh) 2014-07-23 2014-11-19 图像分割方法、装置及设备

Publications (2)

Publication Number Publication Date
MX2015002246A MX2015002246A (es) 2016-04-01
MX352237B true MX352237B (es) 2017-11-15

Family

ID=51882437

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2015002246A MX352237B (es) 2014-07-23 2014-11-19 Metodo, aparato y dispositivo para segmentar imagen.

Country Status (9)

Country Link
US (1) US9665945B2 (es)
EP (1) EP2977956B1 (es)
JP (1) JP6134446B2 (es)
KR (1) KR101694643B1 (es)
CN (1) CN104156947B (es)
BR (1) BR112015003800A2 (es)
MX (1) MX352237B (es)
RU (1) RU2577188C1 (es)
WO (1) WO2016011745A1 (es)

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Also Published As

Publication number Publication date
US9665945B2 (en) 2017-05-30
EP2977956B1 (en) 2017-01-11
EP2977956A1 (en) 2016-01-27
JP6134446B2 (ja) 2017-05-24
KR101694643B1 (ko) 2017-01-09
BR112015003800A2 (pt) 2017-07-04
RU2577188C1 (ru) 2016-03-10
CN104156947A (zh) 2014-11-19
KR20160021737A (ko) 2016-02-26
WO2016011745A1 (zh) 2016-01-28
MX2015002246A (es) 2016-04-01
JP2016531361A (ja) 2016-10-06
US20160027187A1 (en) 2016-01-28
CN104156947B (zh) 2018-03-16

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