CA2249140A1 - Method and apparatus for object detection and background removal - Google Patents
Method and apparatus for object detection and background removalInfo
- Publication number
- CA2249140A1 CA2249140A1 CA002249140A CA2249140A CA2249140A1 CA 2249140 A1 CA2249140 A1 CA 2249140A1 CA 002249140 A CA002249140 A CA 002249140A CA 2249140 A CA2249140 A CA 2249140A CA 2249140 A1 CA2249140 A1 CA 2249140A1
- Authority
- CA
- Canada
- Prior art keywords
- sectional image
- background
- standard deviation
- measure
- sectional
- 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.)
- Granted
Links
Classifications
-
- 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
- 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
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- 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
- G06T2207/20021—Dividing image into blocks, subimages or windows
Abstract
A method and apparatus is provided for object detection and background removal, and also storage media for storing a program which enables automatic detection of an object minutely and with high precision for obtaining an outline. A
sectional image statistic calculation measure calculates a mean value and standard deviation of characteristic value of brightness of the sectional image, with the input image being subjected to division processing into sectional image. A
background sectional image selection measure causes a sectional image whose standard deviation is the smallest value in the sectional images to be taken as the sectional image with a high probability of including only the background. A background statistic estimation measure investigates the sectional image, including only the background, and another sectional image under the relationship between the mean value and the standard deviation. This investigation is implemented in terms of whole sectional images, a threshold generation object detection and background removal measure discriminates the background and the detected target object based on predetermined calculation procedure. A second threshold is in use, and is obtained in such a way that the standard deviation multiplied by the constant number given beforehand from the mean value is added thereto.
sectional image statistic calculation measure calculates a mean value and standard deviation of characteristic value of brightness of the sectional image, with the input image being subjected to division processing into sectional image. A
background sectional image selection measure causes a sectional image whose standard deviation is the smallest value in the sectional images to be taken as the sectional image with a high probability of including only the background. A background statistic estimation measure investigates the sectional image, including only the background, and another sectional image under the relationship between the mean value and the standard deviation. This investigation is implemented in terms of whole sectional images, a threshold generation object detection and background removal measure discriminates the background and the detected target object based on predetermined calculation procedure. A second threshold is in use, and is obtained in such a way that the standard deviation multiplied by the constant number given beforehand from the mean value is added thereto.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP09270684A JP3114668B2 (en) | 1997-10-03 | 1997-10-03 | Object detection / background removal method, apparatus, and recording medium recording program |
JP9-270684 | 1997-10-03 |
Publications (2)
Publication Number | Publication Date |
---|---|
CA2249140A1 true CA2249140A1 (en) | 1999-04-03 |
CA2249140C CA2249140C (en) | 2002-08-27 |
Family
ID=17489517
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA002249140A Expired - Fee Related CA2249140C (en) | 1997-10-03 | 1998-10-01 | Method and apparatus for object detection and background removal |
Country Status (3)
Country | Link |
---|---|
US (2) | US6333993B1 (en) |
JP (1) | JP3114668B2 (en) |
CA (1) | CA2249140C (en) |
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US7050650B2 (en) * | 2002-02-28 | 2006-05-23 | Hewlett-Packard Development Company, L.P. | User selected background noise removal for scanned document images |
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US8891852B2 (en) | 2004-06-09 | 2014-11-18 | Cognex Technology And Investment Corporation | Method and apparatus for configuring and testing a machine vision detector |
US8127247B2 (en) * | 2004-06-09 | 2012-02-28 | Cognex Corporation | Human-machine-interface and method for manipulating data in a machine vision system |
US8243986B2 (en) | 2004-06-09 | 2012-08-14 | Cognex Technology And Investment Corporation | Method and apparatus for automatic visual event detection |
US7636449B2 (en) | 2004-11-12 | 2009-12-22 | Cognex Technology And Investment Corporation | System and method for assigning analysis parameters to vision detector using a graphical interface |
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US9292187B2 (en) * | 2004-11-12 | 2016-03-22 | Cognex Corporation | System, method and graphical user interface for displaying and controlling vision system operating parameters |
JP4810088B2 (en) * | 2004-12-17 | 2011-11-09 | キヤノン株式会社 | Image processing apparatus, image processing method, and program thereof |
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US8237099B2 (en) * | 2007-06-15 | 2012-08-07 | Cognex Corporation | Method and system for optoelectronic detection and location of objects |
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GB0725094D0 (en) * | 2007-12-21 | 2008-01-30 | Univ Liverpool | Image processing |
JP4952627B2 (en) * | 2008-03-21 | 2012-06-13 | 富士通株式会社 | Image processing apparatus, image processing method, and image processing program |
US8311326B2 (en) * | 2008-07-31 | 2012-11-13 | Riso Kagaku Corporation | Image processing using background estimation and removal |
JP5183587B2 (en) * | 2009-07-10 | 2013-04-17 | キヤノン株式会社 | Image processing apparatus, image processing method, and program for executing image processing method |
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KR102315523B1 (en) * | 2014-01-20 | 2021-10-21 | 한화테크윈 주식회사 | Method of and system for eliminating background of image |
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CN104266673B (en) | 2014-09-26 | 2016-06-08 | 博奥生物集团有限公司 | A kind of method utilizing photographic head identification reaction member kind |
KR101832621B1 (en) * | 2016-10-06 | 2018-02-26 | 이수현 | Instrument for learning diagram |
US10178280B2 (en) * | 2017-03-29 | 2019-01-08 | Xerox Corporation | Paper type dependent automatic background suppression |
US10410371B2 (en) | 2017-12-21 | 2019-09-10 | The Boeing Company | Cluttered background removal from imagery for object detection |
JP6642776B1 (en) * | 2018-12-18 | 2020-02-12 | 三菱電機株式会社 | Inspection device and inspection method |
FR3095541B1 (en) * | 2019-04-24 | 2021-09-24 | Safran Electronics & Defense | TARGET DETECTION PROCESS |
CN111178162B (en) * | 2019-12-12 | 2023-11-07 | 北京迈格威科技有限公司 | Image recognition method, device, computer equipment and storage medium |
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-
1997
- 1997-10-03 JP JP09270684A patent/JP3114668B2/en not_active Expired - Fee Related
-
1998
- 1998-10-01 CA CA002249140A patent/CA2249140C/en not_active Expired - Fee Related
- 1998-10-05 US US09/166,213 patent/US6333993B1/en not_active Expired - Lifetime
-
2001
- 2001-09-28 US US09/965,147 patent/US6603880B2/en not_active Expired - Lifetime
Also Published As
Publication number | Publication date |
---|---|
US6603880B2 (en) | 2003-08-05 |
US20020039443A1 (en) | 2002-04-04 |
JP3114668B2 (en) | 2000-12-04 |
US6333993B1 (en) | 2001-12-25 |
JPH11110559A (en) | 1999-04-23 |
CA2249140C (en) | 2002-08-27 |
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Legal Events
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EEER | Examination request | ||
MKLA | Lapsed |