WO2010030056A1 - Automatic contour detection method for ultrasonic diagnosis appartus - Google Patents

Automatic contour detection method for ultrasonic diagnosis appartus Download PDF

Info

Publication number
WO2010030056A1
WO2010030056A1 PCT/KR2008/006286 KR2008006286W WO2010030056A1 WO 2010030056 A1 WO2010030056 A1 WO 2010030056A1 KR 2008006286 W KR2008006286 W KR 2008006286W WO 2010030056 A1 WO2010030056 A1 WO 2010030056A1
Authority
WO
WIPO (PCT)
Prior art keywords
region
image
boundary
detection method
diagnosis apparatus
Prior art date
Application number
PCT/KR2008/006286
Other languages
French (fr)
Inventor
Dong-Joo Kang
Sang-Bum Kye
Gi-Duck Kim
Sung-Woo Park
Young-Bae Lee
Hyo-Jin Lee
Original Assignee
Bionet Co., Ltd
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 Bionet Co., Ltd filed Critical Bionet Co., Ltd
Priority claimed from KR1020080104499A external-priority patent/KR101019977B1/en
Publication of WO2010030056A1 publication Critical patent/WO2010030056A1/en

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/46Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient
    • A61B8/467Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient characterised by special input means
    • A61B8/469Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient characterised by special input means for selection of a region of interest
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10132Ultrasound image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing

Definitions

  • the present invention relates to a method and an apparatus for automatically measuring a region in an ultrasonic image diagnosis apparatus, and more particularly, to a method and an apparatus for automatically measuring a region in an ultrasonic image diagnosis apparatus, capable of automatically extracting a boundary of a tissue by performing an image processing on an image obtained from the ultrasonic image diagnosis apparatus, and then automatically calculating and measuring a size surrounded by the boundary.
  • Background Art
  • a user To perform a process of setting the boundary of an organ in order to measure the circumference, the area, and the volume of a specific organ from an image shot utilizing an existing ultrasonic image diagnosis apparatus, a user should manually select a boundary of a region to be measured from the shot image utilizing an input means such as a mouse, a light pen, a tablet, and a touchpad, and then measure the size of the region.
  • an input means such as a mouse, a light pen, a tablet, and a touchpad
  • a method for automatically measuring a region in an ultrasonic image diagnosis apparatus that can remove worry of change in a measurement value depending on a user, remarkably reduce an input time of the user, and improve an accuracy in measurement by providing a method of processing an image utilizing an image processing method such as edge detection and homogeneity detection, automatically determining the boundary of the image to be measured utilizing the processed image, and automatically measuring the sizes of the circumference/area/volume of a region inside the de- termined boundary.
  • a method for measuring a region in an ultrasonic image diagnosis apparatus including: (Sl) receiving an image measured by the ultrasonic image diagnosis apparatus and starting measurement; (S2) determining a boundary of the image received in (Sl) utilizing an image processing method; (S3) setting a region to be measured utilizing the boundary determined in (S2); (S4) calculating at least one of circumference/ area/volume of the region set in (S3); and (S5) displaying at least one of the circumference/area/volume of the region calculated in (S4) and ending a procedure.
  • the method may further include (S6) allowing a user to selectively select or control the region set in (S3), between (S3) and (S4).
  • (S2) may use one of an edge detection method of obtaining difference values between a pixel serving as a reference and neighboring eight pixels and connecting in a direction that increases a difference, and a homogeneity detection method of dividing the received image into region windows of nxn pixels (where n is a value between 2 and 10), analyzing and calculating statistical distribution of characteristic values of pixels inside the region windows, and forming a boundary by determining the region windows representing a uniform statistical characteristic as the same organ.
  • FIG. 1 is a flowchart illustrating a method of automatically measuring a region in an ultrasonic image diagnosis apparatus according to an exemplary embodiment of the invention. Best Mode for Carrying out the Invention
  • a method for automatically measuring a region in an ultrasonic image diagnosis apparatus begins with step S 1 of receiving an image measured by the ultrasonic image diagnosis apparatus and starting to measure a region as illustrated in Fig. 1. After that, step S2 of determining the boundary of the image received in step S 1 using an image processing method.
  • an edge detection method widely used in general can be used for a method of performing step S2.
  • the edge detection method is a method of obtaining difference values between a pixel serving as a reference and neighboring eight pixels, and connecting pixels in a direction that increases the differences. Since the edge detection method is widely used as an image processing method, detailed description thereof is not repeated.
  • the homogeneity detection method divides a received image into region windows having sizes of nxn pixels (in this case, n is a value between 2 to 10), analyzes and calculates statistical distribution of characteristic values (color tone/brightness in case of a color image, brightness in case of a black and white image) of pixels inside the region windows, and forms a boundary by determining the region windows representing a uniform statistical characteristic as the same organ. Since a method of analyzing and calculating the statistical distribution used in this case is a method widely used in a general numerical analysis method, detailed description thereof is not repeated.
  • step S3 of setting a region to be measured utilizing the boundary of the image determined in step S2 is performed.
  • step S4 of calculating circumference/ area/volume of the region set in step S3 is performed. Since a method of automatically calculating the circumference/area/volume of the set region is a widely known in the art to which the invention pertains, detailed description thereof is not repeated.
  • step S6 of allowing a user to selectively select or control the region set in step S3 is preferably further provided between step S3 and step S4.
  • step S5 of displaying the circumference/area/volume of the region calculated in step S4 and ending a procedure is performed, so that the method for automatically measuring a region in an ultrasonic image diagnosis apparatus according to an exemplary embodiment of the invention is performed.

Abstract

Provided is a method for automatically measuring a region in an ultrasonic image diagnosis apparatus. In the method, an image is processed utilizing an image processing method such as edge detection and homogeneity detection. The boundary of the image to be measured is automatically determined utilizing the processed image. The sizes of the circumference/area/volume of a region inside the determined boundary are automatically measured.

Description

Description
AUTOMATIC CONTOUR DETECTION METHOD FOR ULTRASONIC
DIAGNOSIS APPARATUS
Technical Field
[1] The present invention relates to a method and an apparatus for automatically measuring a region in an ultrasonic image diagnosis apparatus, and more particularly, to a method and an apparatus for automatically measuring a region in an ultrasonic image diagnosis apparatus, capable of automatically extracting a boundary of a tissue by performing an image processing on an image obtained from the ultrasonic image diagnosis apparatus, and then automatically calculating and measuring a size surrounded by the boundary. Background Art
[2] To perform a process of setting the boundary of an organ in order to measure the circumference, the area, and the volume of a specific organ from an image shot utilizing an existing ultrasonic image diagnosis apparatus, a user should manually select a boundary of a region to be measured from the shot image utilizing an input means such as a mouse, a light pen, a tablet, and a touchpad, and then measure the size of the region.
[3] However, since a user should manually select a region to be measured according to a method for measuring a region in the existing ultrasonic image diagnosis apparatus, it is very difficult to accurately designate the boundary of each organ from a corresponding image. Also, since whether the boundary is accurately set is determined depending on dexterity of the user, measurement of a characteristic value inside the region according to the setting of the boundary may change depending on the user. Also, since much time is consumed in manually selecting a region, it is difficult to measure the region fast. Disclosure of Invention
Technical Problem
[4] According to an embodiment of the invention, there is provided a method for automatically measuring a region in an ultrasonic image diagnosis apparatus, that can remove worry of change in a measurement value depending on a user, remarkably reduce an input time of the user, and improve an accuracy in measurement by providing a method of processing an image utilizing an image processing method such as edge detection and homogeneity detection, automatically determining the boundary of the image to be measured utilizing the processed image, and automatically measuring the sizes of the circumference/area/volume of a region inside the de- termined boundary. Technical Solution
[5] According to an embodiment of the invention, there is provided a method for measuring a region in an ultrasonic image diagnosis apparatus, the method including: (Sl) receiving an image measured by the ultrasonic image diagnosis apparatus and starting measurement; (S2) determining a boundary of the image received in (Sl) utilizing an image processing method; (S3) setting a region to be measured utilizing the boundary determined in (S2); (S4) calculating at least one of circumference/ area/volume of the region set in (S3); and (S5) displaying at least one of the circumference/area/volume of the region calculated in (S4) and ending a procedure.
[6] Also, the method may further include (S6) allowing a user to selectively select or control the region set in (S3), between (S3) and (S4).
[7] Also, (S2) may use one of an edge detection method of obtaining difference values between a pixel serving as a reference and neighboring eight pixels and connecting in a direction that increases a difference, and a homogeneity detection method of dividing the received image into region windows of nxn pixels (where n is a value between 2 and 10), analyzing and calculating statistical distribution of characteristic values of pixels inside the region windows, and forming a boundary by determining the region windows representing a uniform statistical characteristic as the same organ.
Advantageous Effects
[8] According to the invention, since the boundary of an organ is automatically extracted through an image processing, worry of a change in a measurement value depending on a user is removed, an input time of the user can be remarkably reduced, and a measurement accuracy also improves. Brief Description of Drawings
[9] Fig. 1 is a flowchart illustrating a method of automatically measuring a region in an ultrasonic image diagnosis apparatus according to an exemplary embodiment of the invention. Best Mode for Carrying out the Invention
[10] Hereinafter, a method and an apparatus for automatically measuring a region in an ultrasonic image diagnosis apparatus according to an embodiment of the invention will be described in detail with reference to the accompanying drawings. It is noted that in the drawings, like reference numerals are used for like elements or parts. In description of the invention, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.
[11] A method for automatically measuring a region in an ultrasonic image diagnosis apparatus begins with step S 1 of receiving an image measured by the ultrasonic image diagnosis apparatus and starting to measure a region as illustrated in Fig. 1. After that, step S2 of determining the boundary of the image received in step S 1 using an image processing method. In this case, for a method of performing step S2, an edge detection method widely used in general can be used. The edge detection method is a method of obtaining difference values between a pixel serving as a reference and neighboring eight pixels, and connecting pixels in a direction that increases the differences. Since the edge detection method is widely used as an image processing method, detailed description thereof is not repeated. Meanwhile, to increase an accuracy even more than the edge detection method used for step S2, a homogeneity detection method which will be described below can be more preferably used. The homogeneity detection method divides a received image into region windows having sizes of nxn pixels (in this case, n is a value between 2 to 10), analyzes and calculates statistical distribution of characteristic values (color tone/brightness in case of a color image, brightness in case of a black and white image) of pixels inside the region windows, and forms a boundary by determining the region windows representing a uniform statistical characteristic as the same organ. Since a method of analyzing and calculating the statistical distribution used in this case is a method widely used in a general numerical analysis method, detailed description thereof is not repeated.
[12] Next, step S3 of setting a region to be measured utilizing the boundary of the image determined in step S2 is performed. After that, step S4 of calculating circumference/ area/volume of the region set in step S3 is performed. Since a method of automatically calculating the circumference/area/volume of the set region is a widely known in the art to which the invention pertains, detailed description thereof is not repeated.
[13] Meanwhile, step S6 of allowing a user to selectively select or control the region set in step S3 is preferably further provided between step S3 and step S4.
[14] Last, step S5 of displaying the circumference/area/volume of the region calculated in step S4 and ending a procedure is performed, so that the method for automatically measuring a region in an ultrasonic image diagnosis apparatus according to an exemplary embodiment of the invention is performed.
[15] In the above, preferred embodiments are illustrated in the drawings and the specification. Although specific terminologies are used herein, they are used in a descriptive sense only and not for purpose of limitation of the meaning or scope of the invention described in claims. Therefore, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

Claims
[1] A method for measuring a region in an ultrasonic image diagnosis apparatus, the method comprising:
(51) receiving an image measured by the ultrasonic image diagnosis apparatus and starting measurement;
(52) determining a boundary of the image received in (Sl) utilizing an image processing method;
(53) setting a region to be measured utilizing the boundary determined in (S2);
(54) calculating at least one of circumference/area/volume of the region set in (S3); and
(55) displaying at least one of the circumference/area/volume of the region calculated in (S4) and ending a procedure.
[2] The method of claim 1, further comprising, between (S3) and (S4), (S6) allowing a user to selectively select or control the region set in (S3).
[3] The method of claim 1 or 2, wherein (S2) uses one of an edge detection method of obtaining difference values between a pixel serving as a reference and neighboring eight pixels and connecting in a direction that increases a difference, and a homogeneity detection method of dividing the received image into region windows of nxn pixels (where n is a value between 2 and 10), analyzing and calculating statistical distribution of characteristic values of pixels inside the region windows, and forming a boundary by determining the region windows representing a uniform statistical characteristic as the same organ.
PCT/KR2008/006286 2008-09-10 2008-10-24 Automatic contour detection method for ultrasonic diagnosis appartus WO2010030056A1 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR10-2008-0089035 2008-09-10
KR20080089035 2008-09-10
KR1020080104499A KR101019977B1 (en) 2008-09-10 2008-10-24 Automatic Contour Dtection Method for Ultrasonic Diagnosis Appartus
KR10-2008-0104499 2008-10-24

Publications (1)

Publication Number Publication Date
WO2010030056A1 true WO2010030056A1 (en) 2010-03-18

Family

ID=42005292

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2008/006286 WO2010030056A1 (en) 2008-09-10 2008-10-24 Automatic contour detection method for ultrasonic diagnosis appartus

Country Status (1)

Country Link
WO (1) WO2010030056A1 (en)

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013109478A1 (en) * 2012-01-12 2013-07-25 Kofax, Inc. Systems and methods for mobile image capture and processing
CN103593071A (en) * 2013-11-22 2014-02-19 深圳市开立科技有限公司 Adjusting method and device of cursor sensitivity
CN103610473A (en) * 2013-11-21 2014-03-05 海信集团有限公司 Ultrasonic image adaptive positioning measuring method and device
US8885229B1 (en) 2013-05-03 2014-11-11 Kofax, Inc. Systems and methods for detecting and classifying objects in video captured using mobile devices
US8958605B2 (en) 2009-02-10 2015-02-17 Kofax, Inc. Systems, methods and computer program products for determining document validity
US9058580B1 (en) 2012-01-12 2015-06-16 Kofax, Inc. Systems and methods for identification document processing and business workflow integration
US9058515B1 (en) 2012-01-12 2015-06-16 Kofax, Inc. Systems and methods for identification document processing and business workflow integration
US9137417B2 (en) 2005-03-24 2015-09-15 Kofax, Inc. Systems and methods for processing video data
US9141926B2 (en) 2013-04-23 2015-09-22 Kofax, Inc. Smart mobile application development platform
US9208536B2 (en) 2013-09-27 2015-12-08 Kofax, Inc. Systems and methods for three dimensional geometric reconstruction of captured image data
US9311531B2 (en) 2013-03-13 2016-04-12 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US9355312B2 (en) 2013-03-13 2016-05-31 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US9386235B2 (en) 2013-11-15 2016-07-05 Kofax, Inc. Systems and methods for generating composite images of long documents using mobile video data
US9396388B2 (en) 2009-02-10 2016-07-19 Kofax, Inc. Systems, methods and computer program products for determining document validity
US9483794B2 (en) 2012-01-12 2016-11-01 Kofax, Inc. Systems and methods for identification document processing and business workflow integration
US9576272B2 (en) 2009-02-10 2017-02-21 Kofax, Inc. Systems, methods and computer program products for determining document validity
US9747269B2 (en) 2009-02-10 2017-08-29 Kofax, Inc. Smart optical input/output (I/O) extension for context-dependent workflows
US9760788B2 (en) 2014-10-30 2017-09-12 Kofax, Inc. Mobile document detection and orientation based on reference object characteristics
US9767354B2 (en) 2009-02-10 2017-09-19 Kofax, Inc. Global geographic information retrieval, validation, and normalization
US9769354B2 (en) 2005-03-24 2017-09-19 Kofax, Inc. Systems and methods of processing scanned data
US9779296B1 (en) 2016-04-01 2017-10-03 Kofax, Inc. Content-based detection and three dimensional geometric reconstruction of objects in image and video data
US10146795B2 (en) 2012-01-12 2018-12-04 Kofax, Inc. Systems and methods for mobile image capture and processing
US10242285B2 (en) 2015-07-20 2019-03-26 Kofax, Inc. Iterative recognition-guided thresholding and data extraction
US10803350B2 (en) 2017-11-30 2020-10-13 Kofax, Inc. Object detection and image cropping using a multi-detector approach

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6106466A (en) * 1997-04-24 2000-08-22 University Of Washington Automated delineation of heart contours from images using reconstruction-based modeling
US6941323B1 (en) * 1999-08-09 2005-09-06 Almen Laboratories, Inc. System and method for image comparison and retrieval by enhancing, defining, and parameterizing objects in images
US7231074B2 (en) * 2002-05-17 2007-06-12 Pfizer Inc. Method for determining the efficacy of an anti-cancer treatment using image analysis

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6106466A (en) * 1997-04-24 2000-08-22 University Of Washington Automated delineation of heart contours from images using reconstruction-based modeling
US6941323B1 (en) * 1999-08-09 2005-09-06 Almen Laboratories, Inc. System and method for image comparison and retrieval by enhancing, defining, and parameterizing objects in images
US7231074B2 (en) * 2002-05-17 2007-06-12 Pfizer Inc. Method for determining the efficacy of an anti-cancer treatment using image analysis

Cited By (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9137417B2 (en) 2005-03-24 2015-09-15 Kofax, Inc. Systems and methods for processing video data
US9769354B2 (en) 2005-03-24 2017-09-19 Kofax, Inc. Systems and methods of processing scanned data
US9767354B2 (en) 2009-02-10 2017-09-19 Kofax, Inc. Global geographic information retrieval, validation, and normalization
US9747269B2 (en) 2009-02-10 2017-08-29 Kofax, Inc. Smart optical input/output (I/O) extension for context-dependent workflows
US9576272B2 (en) 2009-02-10 2017-02-21 Kofax, Inc. Systems, methods and computer program products for determining document validity
US9396388B2 (en) 2009-02-10 2016-07-19 Kofax, Inc. Systems, methods and computer program products for determining document validity
US8958605B2 (en) 2009-02-10 2015-02-17 Kofax, Inc. Systems, methods and computer program products for determining document validity
US9117117B2 (en) 2012-01-12 2015-08-25 Kofax, Inc. Systems and methods for mobile image capture and processing
US9342742B2 (en) 2012-01-12 2016-05-17 Kofax, Inc. Systems and methods for mobile image capture and processing
US9058580B1 (en) 2012-01-12 2015-06-16 Kofax, Inc. Systems and methods for identification document processing and business workflow integration
US9058515B1 (en) 2012-01-12 2015-06-16 Kofax, Inc. Systems and methods for identification document processing and business workflow integration
WO2013109478A1 (en) * 2012-01-12 2013-07-25 Kofax, Inc. Systems and methods for mobile image capture and processing
US8971587B2 (en) 2012-01-12 2015-03-03 Kofax, Inc. Systems and methods for mobile image capture and processing
US10146795B2 (en) 2012-01-12 2018-12-04 Kofax, Inc. Systems and methods for mobile image capture and processing
US9158967B2 (en) 2012-01-12 2015-10-13 Kofax, Inc. Systems and methods for mobile image capture and processing
US9165188B2 (en) 2012-01-12 2015-10-20 Kofax, Inc. Systems and methods for mobile image capture and processing
US9165187B2 (en) 2012-01-12 2015-10-20 Kofax, Inc. Systems and methods for mobile image capture and processing
US8989515B2 (en) 2012-01-12 2015-03-24 Kofax, Inc. Systems and methods for mobile image capture and processing
US10657600B2 (en) 2012-01-12 2020-05-19 Kofax, Inc. Systems and methods for mobile image capture and processing
US8855375B2 (en) 2012-01-12 2014-10-07 Kofax, Inc. Systems and methods for mobile image capture and processing
US8879120B2 (en) 2012-01-12 2014-11-04 Kofax, Inc. Systems and methods for mobile image capture and processing
US9514357B2 (en) 2012-01-12 2016-12-06 Kofax, Inc. Systems and methods for mobile image capture and processing
US10664919B2 (en) 2012-01-12 2020-05-26 Kofax, Inc. Systems and methods for mobile image capture and processing
US9483794B2 (en) 2012-01-12 2016-11-01 Kofax, Inc. Systems and methods for identification document processing and business workflow integration
US9355312B2 (en) 2013-03-13 2016-05-31 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US9996741B2 (en) 2013-03-13 2018-06-12 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US9311531B2 (en) 2013-03-13 2016-04-12 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US9754164B2 (en) 2013-03-13 2017-09-05 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US10127441B2 (en) 2013-03-13 2018-11-13 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US10146803B2 (en) 2013-04-23 2018-12-04 Kofax, Inc Smart mobile application development platform
US9141926B2 (en) 2013-04-23 2015-09-22 Kofax, Inc. Smart mobile application development platform
US8885229B1 (en) 2013-05-03 2014-11-11 Kofax, Inc. Systems and methods for detecting and classifying objects in video captured using mobile devices
US9584729B2 (en) 2013-05-03 2017-02-28 Kofax, Inc. Systems and methods for improving video captured using mobile devices
US9253349B2 (en) 2013-05-03 2016-02-02 Kofax, Inc. Systems and methods for detecting and classifying objects in video captured using mobile devices
US9208536B2 (en) 2013-09-27 2015-12-08 Kofax, Inc. Systems and methods for three dimensional geometric reconstruction of captured image data
US9946954B2 (en) 2013-09-27 2018-04-17 Kofax, Inc. Determining distance between an object and a capture device based on captured image data
US9747504B2 (en) 2013-11-15 2017-08-29 Kofax, Inc. Systems and methods for generating composite images of long documents using mobile video data
US9386235B2 (en) 2013-11-15 2016-07-05 Kofax, Inc. Systems and methods for generating composite images of long documents using mobile video data
CN103610473A (en) * 2013-11-21 2014-03-05 海信集团有限公司 Ultrasonic image adaptive positioning measuring method and device
CN103593071A (en) * 2013-11-22 2014-02-19 深圳市开立科技有限公司 Adjusting method and device of cursor sensitivity
US9760788B2 (en) 2014-10-30 2017-09-12 Kofax, Inc. Mobile document detection and orientation based on reference object characteristics
US10242285B2 (en) 2015-07-20 2019-03-26 Kofax, Inc. Iterative recognition-guided thresholding and data extraction
US9779296B1 (en) 2016-04-01 2017-10-03 Kofax, Inc. Content-based detection and three dimensional geometric reconstruction of objects in image and video data
US10803350B2 (en) 2017-11-30 2020-10-13 Kofax, Inc. Object detection and image cropping using a multi-detector approach
US11062176B2 (en) 2017-11-30 2021-07-13 Kofax, Inc. Object detection and image cropping using a multi-detector approach

Similar Documents

Publication Publication Date Title
WO2010030056A1 (en) Automatic contour detection method for ultrasonic diagnosis appartus
CN106097361B (en) Defect area detection method and device
CN101256157B (en) Method and apparatus for testing surface defect
JP6234044B2 (en) Exterior material deterioration judging method and judging device
JP7228585B2 (en) Method and apparatus for making analytical measurements
RU2011130813A (en) VISUALIZATION SYSTEM OF ACOUSTIC IMAGES AND METHOD OF VISUALIZATION OF ACOUSTIC IMAGES WITH QUANTIFICATION OF CONTRAST
CN109167928A (en) Fast automatic exposure method and system based on defects of display panel detection
Chopin et al. RootAnalyzer: a cross-section image analysis tool for automated characterization of root cells and tissues
CN104697938A (en) Test paper reading method and pregnancy test and ovulation testing method using same
TW201250608A (en) Image comparison system and method
CN104363815A (en) Image processing device, image processing method, and image processing program
JP2013025650A5 (en)
US20170011512A1 (en) Cell recognition device, method, and program
CN104053984A (en) Image examination method and image examination apparatus
EP2610813A3 (en) Biomarker evaluation through image analysis
CN109949725B (en) Image gray level standardization method and system for AOI system
JP7026694B2 (en) Image analyzers, methods and programs
CN105763871A (en) Real time detection system and detection method for camera definition
CN106595496A (en) Man-machine interaction part size flexibility vision measurement method
CN104197866A (en) Method for quantitative determination of cutin to starch percentage of corn kernel cross section
CN109191386A (en) A kind of quick Gamma bearing calibration and device based on BPNN
KR101661613B1 (en) Measuring method for skin condition
Zhihong et al. Smartphone-based visual measurement and portable instrumentation for crop seed phenotyping
CN109102486B (en) Surface defect detection method and device based on machine learning
CN106204523A (en) A kind of image quality evaluation method and device

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 08876932

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 08876932

Country of ref document: EP

Kind code of ref document: A1