WO2005104013A3 - Enhancing images superimposed on uneven or partially obscured background - Google Patents

Enhancing images superimposed on uneven or partially obscured background Download PDF

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Publication number
WO2005104013A3
WO2005104013A3 PCT/US2005/013401 US2005013401W WO2005104013A3 WO 2005104013 A3 WO2005104013 A3 WO 2005104013A3 US 2005013401 W US2005013401 W US 2005013401W WO 2005104013 A3 WO2005104013 A3 WO 2005104013A3
Authority
WO
WIPO (PCT)
Prior art keywords
image
uneven
partially obscured
images superimposed
enhancing images
Prior art date
Application number
PCT/US2005/013401
Other languages
French (fr)
Other versions
WO2005104013A2 (en
Inventor
Theodore R Smith
Jan P Koniarek
Jackie K Chan
Original Assignee
Univ Columbia
Theodore R Smith
Jan P Koniarek
Jackie K Chan
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 Univ Columbia, Theodore R Smith, Jan P Koniarek, Jackie K Chan filed Critical Univ Columbia
Publication of WO2005104013A2 publication Critical patent/WO2005104013A2/en
Publication of WO2005104013A3 publication Critical patent/WO2005104013A3/en

Links

Classifications

    • G06T5/94—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10056—Microscopic image
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10064—Fluorescence image
    • 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
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • 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
    • G06T2207/30041—Eye; Retina; Ophthalmic
    • 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular

Abstract

This invention provides a method of leveling an image of a non-uniform background. The method uses all or a portion of the image data from the original image and mathematical algorithms to construct a model image that reflects the non-uniform background of the original image and subtract the model image from the original image to generate an image with a more uniform background (figure 7). This invention also provides computer software for performing the methods of the invention.
PCT/US2005/013401 2004-04-19 2005-04-19 Enhancing images superimposed on uneven or partially obscured background WO2005104013A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US10/827,862 2004-04-19
US10/827,862 US7248736B2 (en) 2004-04-19 2004-04-19 Enhancing images superimposed on uneven or partially obscured background

Publications (2)

Publication Number Publication Date
WO2005104013A2 WO2005104013A2 (en) 2005-11-03
WO2005104013A3 true WO2005104013A3 (en) 2006-12-14

Family

ID=35096333

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/013401 WO2005104013A2 (en) 2004-04-19 2005-04-19 Enhancing images superimposed on uneven or partially obscured background

Country Status (2)

Country Link
US (1) US7248736B2 (en)
WO (1) WO2005104013A2 (en)

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CN105205821A (en) * 2015-09-21 2015-12-30 江苏科技大学 Weld image segmentation method

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US7334896B2 (en) * 2005-09-30 2008-02-26 Matthew Carnevale Grayscale redistribution system to improve retinal imaging by reducing the effect of a highly reflective optic nerve
JP4752719B2 (en) * 2006-10-19 2011-08-17 ソニー株式会社 Image processing apparatus, image acquisition method, and program
US7936921B2 (en) * 2007-01-04 2011-05-03 Freescale Semiconductor, Inc. Efficient fixed-point real-time thresholding for signal processing
US8290257B2 (en) * 2007-03-02 2012-10-16 The Procter & Gamble Company Method and apparatus for simulation of facial skin aging and de-aging
US8737703B2 (en) * 2008-01-16 2014-05-27 The Charles Stark Draper Laboratory, Inc. Systems and methods for detecting retinal abnormalities
US8718363B2 (en) * 2008-01-16 2014-05-06 The Charles Stark Draper Laboratory, Inc. Systems and methods for analyzing image data using adaptive neighborhooding
DE102009021492B4 (en) * 2009-05-15 2012-01-12 Siemens Aktiengesellschaft Method for determining an MR relaxation time in the heart muscle in a magnetic resonance examination, magnetic resonance system, computer program product and electronically readable data carrier
CN102063723B (en) * 2011-01-28 2013-01-02 南京理工大学 Zebra fish diencephalon and midbrain automatic dividing method under high-throughput imaging system
US8655071B2 (en) * 2011-02-24 2014-02-18 Sharp Laboratories Of America, Inc. Methods and systems for determining a document region-of-interest in an image
WO2013184070A1 (en) * 2012-06-05 2013-12-12 Agency For Science, Technology And Research A drusen lesion image detection system
US20140079296A1 (en) * 2012-07-13 2014-03-20 Retina Biometrix, Llc Biometric identification via retina scanning
US9808154B2 (en) * 2012-07-13 2017-11-07 Retina Biometrix, Llc Biometric identification via retina scanning with liveness detection
CN104599271B (en) * 2015-01-20 2017-04-12 中国科学院半导体研究所 CIE Lab color space based gray threshold segmentation method
CN104834908B (en) * 2015-05-07 2018-09-07 惠州Tcl移动通信有限公司 The image exposure method and exposure system that a kind of mobile terminal is identified based on eyeprint
CN105021628B (en) * 2015-07-19 2019-12-17 中北大学 Method for detecting surface defects of optical fiber image inverter
CN105205485B (en) * 2015-09-11 2018-09-18 浙江工商大学 Large scale image partitioning algorithm based on maximum variance algorithm between multiclass class
CN106204553B (en) * 2016-06-30 2019-03-08 江苏理工学院 A kind of image fast segmentation method based on least square method curve matching
US10169894B2 (en) 2016-10-06 2019-01-01 International Business Machines Corporation Rebuilding images based on historical image data
CN107292902B (en) * 2017-07-07 2020-05-19 国家电网公司 Two-dimensional Otsu image segmentation method combined with drosophila optimization algorithm
CN108247649A (en) * 2018-01-30 2018-07-06 深圳源广安智能科技有限公司 It is a kind of that there is the intelligent robot of tourism guiding
CN108288388A (en) * 2018-01-30 2018-07-17 深圳源广安智能科技有限公司 A kind of intelligent traffic monitoring system
CN108470327B (en) * 2018-03-27 2022-05-17 成都西纬科技有限公司 Image enhancement method and device, electronic equipment and storage medium
CN109242848B (en) * 2018-09-21 2021-04-20 西华大学 Wallpaper defect detection and identification method based on OTSU and GA-BP neural network
KR102280365B1 (en) 2019-12-17 2021-07-22 주식회사 휴비츠 Method for revising fundus photographing image
CN111462145B (en) * 2020-04-01 2023-04-07 重庆大学 Active contour image segmentation method based on double-weight symbol pressure function
CN116433496A (en) * 2021-12-31 2023-07-14 虹软科技股份有限公司 Image denoising method, device and storage medium

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US5319549A (en) * 1992-11-25 1994-06-07 Arch Development Corporation Method and system for determining geometric pattern features of interstitial infiltrates in chest images
US6735337B2 (en) * 2001-02-02 2004-05-11 Shih-Jong J. Lee Robust method for automatic reading of skewed, rotated or partially obscured characters

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US5524130A (en) * 1992-08-28 1996-06-04 Kabushiki Kaisha Toshiba Computed tomography apparatus
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US6047090A (en) * 1996-07-31 2000-04-04 U.S. Philips Corporation Method and device for automatic segmentation of a digital image using a plurality of morphological opening operation
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US5224176A (en) * 1991-02-22 1993-06-29 Professional Coin Grading Service, Inc. Automated coin grading system
US5319549A (en) * 1992-11-25 1994-06-07 Arch Development Corporation Method and system for determining geometric pattern features of interstitial infiltrates in chest images
US6735337B2 (en) * 2001-02-02 2004-05-11 Shih-Jong J. Lee Robust method for automatic reading of skewed, rotated or partially obscured characters

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105205821A (en) * 2015-09-21 2015-12-30 江苏科技大学 Weld image segmentation method
CN105205821B (en) * 2015-09-21 2018-09-04 江苏科技大学 A kind of welding image dividing method

Also Published As

Publication number Publication date
US20050232506A1 (en) 2005-10-20
WO2005104013A2 (en) 2005-11-03
US7248736B2 (en) 2007-07-24

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