Cognition Network Technology (CNT), also known as Definiens Cognition Network Technology,[1] is an object-based image analysis method developed by Nobel laureate Gerd Binnig together with a team of researchers at Definiens AG in Munich, Germany. It serves for extracting information from images using a hierarchy of image objects (groups of pixels), as opposed to traditional pixel processing methods.
To emulate the human mind's cognitive powers, Definiens used patented image segmentation and classification processes, and developed a method to render knowledge in a semantic network. CNT examines pixels not in isolation, but in context. It builds up a picture iteratively, recognizing groups of pixels as objects. It uses the color, shape, texture and size of objects as well as their context and relationships to draw conclusions and inferences, similar to human analysis.
In 1994 Professor Gerd Binnig founded Definiens. CNT was first available with the launch of the eCognition software in May 2000. In June 2010, Trimble Navigation Ltd (NASDAQ: TRMB) acquired Definiens business asset in earth sciences markets, including eCognition software,[2] and also licensed Definiens' patented CNT.[3] In 2014, Definiens was acquired by MedImmune, the global biologics research and development arm of AstraZeneca, for an initial consideration of $150 million.[4]
The central concept behind Definiens Tissue Studio is a user interface that facilitates machine learning from example digital histopathology images in order to derive an image analysis solution suitable for the measurement of biomarkers and/or histological features within pre-defined regions of interest on a cell-by-cell basis, and within sub-cellular compartments.[7] The derived image analysis solution is then automatically applied to subsequent digital images in order to objectively measure defined sets of multiparametric image features. These data sets are used for further understanding the underlying biological processes that drive cancer and other diseases.[8] Image processing and data analysis are performed either on a local desktop computer workstation, or on a server grid.[9]
eCognitionedit
The eCognition suite offers three components which can be used stand-alone or in combination to solve image analysis tasks. eCognition Developer is a development environment for object-based image analysis. It is used in earth sciences to develop rule sets (or applications) for the analysis of remote sensing data. eCognition Architect enables non-technical users to configure, calibrate and execute image analysis workflows created in eCognition Developer. eCognition Server software provides a processing environment for batch execution of image analysis jobs.
eCognition software is utilized in numerous remote sensing and geospatial application scenarios and environments, using a variety of data types:
By environment: Diverse Landcover Mapping, Urban Analysis (i.e. impervious surface area analysis for taxation, property assessment for insurance, inventory of green infrastructure), Forestry (i.e. biomass measurement, species identification, firescar measurement), Agriculture (i.e. regional planning, precision farming, crisis response), Marine and Riparian (i.e. ecosystem evaluation, disaster management, harbor monitoring).
Other: Defense, security, atmosphere and climate
The online eCognition community was launched in July 2009 and had 2813 members as of July 9, 2010. Membership is distributed globally and user conferences are held regularly, the last having taken place in November 2009 in Munich, Germany. The bi-annual GEOBIA (Geographic Object-Based Image Analysis) conference is heavily attended by eCognition users, with the majority of presentations based on eCognition software.
Referencesedit
^Image analysis with Definiens Cognition Network Technology
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Further readingedit
Benz, U. C.; Hofmann, P.; Willhauck, G.; Lingenfelder, I.; Heynen, M. (2004). "Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information". ISPRS Journal of Photogrammetry and Remote Sensing. 58 (3): 239–258. Bibcode:2004JPRS...58..239B. doi:10.1016/j.isprsjprs.2003.10.002.
Athelogou, Maria; Schmidt, Günter; Schäpe, Arno; Baatz, Martin; Binnig, Gerd (2007). "Cognition Network Technology – A Novel Multimodal Image Analysis Technique for Automatic Identification and Quantification of Biological Image Contents". Imaging Cellular and Molecular Biological Functions. Principles and Practice. pp. 407–422. doi:10.1007/978-3-540-71331-9_15. ISBN978-3-540-71330-2. ISSN 1866-914X.
External linksedit
Computer Vision & Machine Learning
March 14, 2024
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This article has multiple issues Please help improve it or discuss these issues on the talk page Learn how and when to remove these template messages This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Cognition Network Technology news newspapers books scholar JSTOR January 2015 Learn how and when to remove this template message This article uses bare URLs which are uninformative and vulnerable to link rot Please consider converting them to full citations to ensure the article remains verifiable and maintains a consistent citation style Several templates and tools are available to assist in formatting such as reFill documentation and Citation bot documentation August 2022 Learn how and when to remove this template message Learn how and when to remove this template message Cognition Network Technology CNT also known as Definiens Cognition Network Technology 1 is an object based image analysis method developed by Nobel laureate Gerd Binnig together with a team of researchers at Definiens AG in Munich Germany It serves for extracting information from images using a hierarchy of image objects groups of pixels as opposed to traditional pixel processing methods To emulate the human mind s cognitive powers Definiens used patented image segmentation and classification processes and developed a method to render knowledge in a semantic network CNT examines pixels not in isolation but in context It builds up a picture iteratively recognizing groups of pixels as objects It uses the color shape texture and size of objects as well as their context and relationships to draw conclusions and inferences similar to human analysis Contents 1 History 2 Software 2 1 Definiens Tissue Studio 2 2 eCognition 3 References 4 Further reading 5 External linksHistory editIn 1994 Professor Gerd Binnig founded Definiens CNT was first available with the launch of the eCognition software in May 2000 In June 2010 Trimble Navigation Ltd NASDAQ TRMB acquired Definiens business asset in earth sciences markets including eCognition software 2 and also licensed Definiens patented CNT 3 In 2014 Definiens was acquired by MedImmune the global biologics research and development arm of AstraZeneca for an initial consideration of 150 million 4 Software editDefiniens Tissue Studio edit Definiens Tissue Studio is a digital pathology image analysis software application based on CNT 5 The intended use of Definiens Tissue Studio is for biomarker translational research in formalin fixed paraffin embedded tissue samples which have been treated with immunohistochemical staining assays or hematoxylin and eosin H amp E 6 The central concept behind Definiens Tissue Studio is a user interface that facilitates machine learning from example digital histopathology images in order to derive an image analysis solution suitable for the measurement of biomarkers and or histological features within pre defined regions of interest on a cell by cell basis and within sub cellular compartments 7 The derived image analysis solution is then automatically applied to subsequent digital images in order to objectively measure defined sets of multiparametric image features These data sets are used for further understanding the underlying biological processes that drive cancer and other diseases 8 Image processing and data analysis are performed either on a local desktop computer workstation or on a server grid 9 eCognition edit The eCognition suite offers three components which can be used stand alone or in combination to solve image analysis tasks eCognition Developer is a development environment for object based image analysis It is used in earth sciences to develop rule sets or applications for the analysis of remote sensing data eCognition Architect enables non technical users to configure calibrate and execute image analysis workflows created in eCognition Developer eCognition Server software provides a processing environment for batch execution of image analysis jobs eCognition software is utilized in numerous remote sensing and geospatial application scenarios and environments using a variety of data types Generic Rapid Mapping Change Detection Object Recognition By environment Diverse Landcover Mapping Urban Analysis i e impervious surface area analysis for taxation property assessment for insurance inventory of green infrastructure Forestry i e biomass measurement species identification firescar measurement Agriculture i e regional planning precision farming crisis response Marine and Riparian i e ecosystem evaluation disaster management harbor monitoring Other Defense security atmosphere and climateThe online eCognition community was launched in July 2009 and had 2813 members as of July 9 2010 Membership is distributed globally and user conferences are held regularly the last having taken place in November 2009 in Munich Germany The bi annual GEOBIA Geographic Object Based Image Analysis conference is heavily attended by eCognition users with the majority of presentations based on eCognition software References edit Image analysis with Definiens Cognition Network Technology Trimble Definiens Joint Press Release Trimble Acquires Definiens Earth Sciences Business to Expand its GeoSpatial Portfolio June 11 2010 http www ecognition com sites default files Trimble 20eCognition pdf About Trimble Company History 1978 Present https www astrazeneca com media centre press releases 2014 medimmune definiens aquisition tissue phenomics 26112014 html Definiens Cognition Network Technology Archived from the original on 2010 03 25 Retrieved 2010 02 10 Archived copy Archived from the original on 2009 10 04 Retrieved 2010 02 10 a href Template Cite web html title Template Cite web cite web a CS1 maint archived copy as title link Archived copy Archived from the original on 2009 10 04 Retrieved 2010 02 10 a href Template Cite web html title Template Cite web cite web a CS1 maint archived copy as title link The Image Analysis Challenge on ADVANCE for Medical Laboratory Professionals Archived from the original on 2011 07 07 Retrieved 2016 06 28 Archived copy Archived from the original on 2009 10 04 Retrieved 2010 02 10 a href Template Cite web html title Template Cite web cite web a CS1 maint archived copy as title link Further reading editBenz U C Hofmann P Willhauck G Lingenfelder I Heynen M 2004 Multi resolution object oriented fuzzy analysis of remote sensing data for GIS ready information ISPRS Journal of Photogrammetry and Remote Sensing 58 3 239 258 Bibcode 2004JPRS 58 239B doi 10 1016 j isprsjprs 2003 10 002 Athelogou Maria Schmidt Gunter Schape Arno Baatz Martin Binnig Gerd 2007 Cognition Network Technology A Novel Multimodal Image Analysis Technique for Automatic Identification and Quantification of Biological Image Contents Imaging Cellular and Molecular Biological Functions Principles and Practice pp 407 422 doi 10 1007 978 3 540 71331 9 15 ISBN 978 3 540 71330 2 ISSN 1866 914X External links editComputer Vision amp Machine Learning Retrieved from https en wikipedia org w index php title Cognition Network Technology amp oldid 1168126069 Definiens, wikipedia, wiki, book, books, library,
