IN2014CN00655A - - Google Patents

Info

Publication number
IN2014CN00655A
IN2014CN00655A IN655CHN2014A IN2014CN00655A IN 2014CN00655 A IN2014CN00655 A IN 2014CN00655A IN 655CHN2014 A IN655CHN2014 A IN 655CHN2014A IN 2014CN00655 A IN2014CN00655 A IN 2014CN00655A
Authority
IN
India
Prior art keywords
patches
edge
electronic image
texture
algorithm
Prior art date
Application number
Other languages
English (en)
Inventor
Zhiyu Wang
Edward Y Chang
Original Assignee
Google 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 Google Inc filed Critical Google Inc
Publication of IN2014CN00655A publication Critical patent/IN2014CN00655A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/771—Feature selection, e.g. selecting representative features from a multi-dimensional feature space
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
IN655CHN2014 2011-08-01 2011-08-01 IN2014CN00655A (zh)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2011/077855 WO2013016863A1 (en) 2011-08-01 2011-08-01 Techniques for feature extraction

Publications (1)

Publication Number Publication Date
IN2014CN00655A true IN2014CN00655A (zh) 2015-04-03

Family

ID=47628619

Family Applications (1)

Application Number Title Priority Date Filing Date
IN655CHN2014 IN2014CN00655A (zh) 2011-08-01 2011-08-01

Country Status (7)

Country Link
US (1) US9547914B2 (zh)
EP (1) EP2740074B1 (zh)
JP (1) JP5755810B2 (zh)
KR (1) KR101821770B1 (zh)
CN (1) CN103930902B (zh)
IN (1) IN2014CN00655A (zh)
WO (1) WO2013016863A1 (zh)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9930250B2 (en) * 2013-09-15 2018-03-27 Mediatek Inc. Method and apparatus for performing image processing operation based on frame/algorithm selection
CN106096411B (zh) * 2016-06-08 2018-09-18 浙江工业大学 一种基于字节码图像聚类的Android恶意代码家族分类方法
CN107145899A (zh) * 2017-04-18 2017-09-08 重庆金山医疗器械有限公司 三通道Narrow‑band感知颜色特征提取用于描述消化道内医学图像的工作方法
US10936907B2 (en) * 2018-08-10 2021-03-02 Buffalo Automation Group Inc. Training a deep learning system for maritime applications

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000187731A (ja) 1998-12-21 2000-07-04 Ricoh Co Ltd 画像特徴抽出方法およびその方法の各工程をコンピュータに実行させるためのプログラムを記録したコンピュータ読み取り可能な記録媒体
US6983068B2 (en) * 2001-09-28 2006-01-03 Xerox Corporation Picture/graphics classification system and method
JP2004152087A (ja) * 2002-10-31 2004-05-27 Fuji Photo Film Co Ltd 画像の特徴量を抽出する方法および装置
US20050058350A1 (en) * 2003-09-15 2005-03-17 Lockheed Martin Corporation System and method for object identification
US7733350B2 (en) * 2006-06-30 2010-06-08 Microsoft Corporation Anisometric texture synthesis
US8457400B2 (en) 2008-06-27 2013-06-04 Microsoft Corporation Patch-based texture histogram coding for fast image similarity search
US8111923B2 (en) * 2008-08-14 2012-02-07 Xerox Corporation System and method for object class localization and semantic class based image segmentation
CN102708037B (zh) * 2012-04-23 2015-05-20 山东中创软件工程股份有限公司 一种应用程序运行状态的检查方法和检查装置

Also Published As

Publication number Publication date
KR101821770B1 (ko) 2018-01-24
CN103930902A (zh) 2014-07-16
EP2740074B1 (en) 2019-02-27
US9547914B2 (en) 2017-01-17
WO2013016863A1 (en) 2013-02-07
JP2014522045A (ja) 2014-08-28
CN103930902B (zh) 2018-03-02
EP2740074A4 (en) 2016-03-23
US20140147039A1 (en) 2014-05-29
KR20140053259A (ko) 2014-05-07
EP2740074A1 (en) 2014-06-11
JP5755810B2 (ja) 2015-07-29

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