GB2454857B - Method for processing a microscope intensity image - Google Patents

Method for processing a microscope intensity image

Info

Publication number
GB2454857B
GB2454857B GB0905233A GB0905233A GB2454857B GB 2454857 B GB2454857 B GB 2454857B GB 0905233 A GB0905233 A GB 0905233A GB 0905233 A GB0905233 A GB 0905233A GB 2454857 B GB2454857 B GB 2454857B
Authority
GB
United Kingdom
Prior art keywords
intensity image
imin
imax
determined
microscope
Prior art date
Legal status (The legal status 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 status listed.)
Expired - Fee Related
Application number
GB0905233A
Other versions
GB0905233D0 (en
GB2454857A (en
Inventor
Maximilian Staudacher
Fred Hamprecht
Linus Goerlitz
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
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 Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of GB0905233D0 publication Critical patent/GB0905233D0/en
Publication of GB2454857A publication Critical patent/GB2454857A/en
Application granted granted Critical
Publication of GB2454857B publication Critical patent/GB2454857B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00—Microscopes
    • G02B21/36—Microscopes arranged for photographic purposes or projection purposes or digital imaging or video purposes including associated control and data processing arrangements
    • G02B21/365—Control or image processing arrangements for digital or video microscopes
    • G06K9/38—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G06T5/30—Erosion or dilatation, e.g. thinning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/40—Image enhancement or restoration using histogram techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • 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
    • G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/695—Preprocessing, e.g. image segmentation
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20036—Morphological image processing
    • 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
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30164—Workpiece; Machine component

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Optics & Photonics (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to a method for processing an intensity image (1) of a microscope, particularly an intensity image (1) created by means of a light microscope or a scanning electron microscope of a carrier element provided with objects (3, 4). The intensity of each pixel (2) of the intensity image (1) is determined. Additionally, a plurality of minima (Imin(S1), Imin(S2), Imin(S3), Imin(S4)) and maxima (Imax(S1), Imax(S2), Imax(S3), Imax(S4)) of the intensities of a surrounding area of each pixel (2) of the intensity image (1) are determined, the area being defined by structural elements (S1 to S4) having predetermined areas and shapes. The determined intensities of the pixels (2) of the intensity image (1) and the determined minima (Imin(S1) to Imin(S4)) and Maxima (Imax(S1) to Imax(S4)) of the intensities of the surrounding area of each pixel (2) are each combined into multi-dimensional vectors.
GB0905233A 2006-09-18 2009-03-26 Method for processing a microscope intensity image Expired - Fee Related GB2454857B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102006043684A DE102006043684A1 (en) 2006-09-18 2006-09-18 Method for processing an intensity image of a microscope
PCT/EP2007/059311 WO2008034721A1 (en) 2006-09-18 2007-09-06 Method for processing an intensity image of a microscope

Publications (3)

Publication Number Publication Date
GB0905233D0 GB0905233D0 (en) 2009-05-13
GB2454857A GB2454857A (en) 2009-05-27
GB2454857B true GB2454857B (en) 2010-06-09

Family

ID=38669507

Family Applications (1)

Application Number Title Priority Date Filing Date
GB0905233A Expired - Fee Related GB2454857B (en) 2006-09-18 2009-03-26 Method for processing a microscope intensity image

Country Status (3)

Country Link
DE (1) DE102006043684A1 (en)
GB (1) GB2454857B (en)
WO (1) WO2008034721A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102018205561A1 (en) 2017-08-18 2019-02-21 Robert Bosch Gmbh Device for classifying signals
DE102020203705A1 (en) 2020-03-23 2021-09-23 Robert Bosch Gesellschaft mit beschränkter Haftung Plausibility check of the output of neural classifier networks based on additional information about features
DE102020203707A1 (en) 2020-03-23 2021-09-23 Robert Bosch Gesellschaft mit beschränkter Haftung Plausibility check of the output of neural classifier networks
DE102020204758A1 (en) 2020-04-15 2021-10-21 Robert Bosch Gesellschaft mit beschränkter Haftung Fast symmetry detection for the classification of objects from digital images
DE102020208008A1 (en) 2020-06-29 2021-12-30 Robert Bosch Gesellschaft mit beschränkter Haftung Image classification and related training for security-related classification tasks

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102007054392A1 (en) 2007-11-14 2009-05-20 Robert Bosch Gmbh Self-adaptivity of scanning electron microscopes

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1992013308A1 (en) * 1991-01-29 1992-08-06 Neuromedical Systems, Inc. Morphological classification system and method
WO1996038809A1 (en) * 1995-05-31 1996-12-05 Neopath, Inc. Method and apparatus for assessing slide and specimen preparation quality
US6456899B1 (en) * 1999-12-07 2002-09-24 Ut-Battelle, Llc Context-based automated defect classification system using multiple morphological masks
US20030147556A1 (en) * 2002-01-18 2003-08-07 Madhusudhana Gargesha Face classification using curvature-based multi-scale morphology
US20040126008A1 (en) * 2000-04-24 2004-07-01 Eric Chapoulaud Analyte recognition for urinalysis diagnostic system
US20040161161A1 (en) * 2003-02-14 2004-08-19 Recht Joel M. Method and system for image segmentation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1992013308A1 (en) * 1991-01-29 1992-08-06 Neuromedical Systems, Inc. Morphological classification system and method
WO1996038809A1 (en) * 1995-05-31 1996-12-05 Neopath, Inc. Method and apparatus for assessing slide and specimen preparation quality
US6456899B1 (en) * 1999-12-07 2002-09-24 Ut-Battelle, Llc Context-based automated defect classification system using multiple morphological masks
US20040126008A1 (en) * 2000-04-24 2004-07-01 Eric Chapoulaud Analyte recognition for urinalysis diagnostic system
US20030147556A1 (en) * 2002-01-18 2003-08-07 Madhusudhana Gargesha Face classification using curvature-based multi-scale morphology
US20040161161A1 (en) * 2003-02-14 2004-08-19 Recht Joel M. Method and system for image segmentation

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102018205561A1 (en) 2017-08-18 2019-02-21 Robert Bosch Gmbh Device for classifying signals
CN109409188A (en) * 2017-08-18 2019-03-01 罗伯特·博世有限公司 Equipment for Modulation recognition
DE102020203705A1 (en) 2020-03-23 2021-09-23 Robert Bosch Gesellschaft mit beschränkter Haftung Plausibility check of the output of neural classifier networks based on additional information about features
DE102020203707A1 (en) 2020-03-23 2021-09-23 Robert Bosch Gesellschaft mit beschränkter Haftung Plausibility check of the output of neural classifier networks
DE102020204758A1 (en) 2020-04-15 2021-10-21 Robert Bosch Gesellschaft mit beschränkter Haftung Fast symmetry detection for the classification of objects from digital images
DE102020208008A1 (en) 2020-06-29 2021-12-30 Robert Bosch Gesellschaft mit beschränkter Haftung Image classification and related training for security-related classification tasks
US11978262B2 (en) 2020-06-29 2024-05-07 Robert Bosch Gmbh Image classification and associated training for safety-relevant classification tasks

Also Published As

Publication number Publication date
GB0905233D0 (en) 2009-05-13
WO2008034721A1 (en) 2008-03-27
GB2454857A (en) 2009-05-27
DE102006043684A1 (en) 2008-03-27

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Legal Events

Date Code Title Description
PCNP Patent ceased through non-payment of renewal fee

Effective date: 20150906