Conferences related to Image segmentation

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2016 IEEE International Conference on Image Processing (ICIP)

Signal processing, image processing, biomedical imaging, multimedia, video, multidemensional.


2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)


2013 21st International Conference on Geoinformatics

GIS in Regional Economic Development and Environmental Protection under Globalization


2013 IEEE International Conference on Computer Vision (ICCV)

Latest research in Computer Vision, including medical imaging, surveillance, tracking, 3D vision, and vision-based graphics.

  • 2011 IEEE International Conference on Computer Vision (ICCV)

    The International Conference on Computer Vision is the prime event in the area of computer vision. High-quality papers are accepted on both theoretical foundations and practical applications. It covers subfields like object recognition, 3D acquisition and modeling, computational photography, tracking and gesture analysis, and image filtering and enhancement.

  • 2009 IEEE 12th International Conference on Computer Vision (ICCV)

    Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and Tracking Stereo and Structure from Motion Image-Based Modeling Physics-Based Modeling Statistical Methods and Learning in Vision Video Surveillance and Monitoring Object, Event and Scene Recognition Vision-Based Graphics Image and Video Retrieval Performance Evaluation Applications


2012 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)

The Southwest Symposium on Image Analysis and Interpretation (SSIAI) is a biennial conference dedicated to all aspects of computational analysis and interpretation of images and video. SSIAI brings together researchers and practitioners in academia, industry, and government to share and discuss the latest advances in this field.

  • 2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)

    The Southwest Symposium on Image Analysis and Interpretation (SSIAI) is a biennial conference dedicated to all aspects of computational analysis and interpretation of images and video. SSIAI brings together researchers and practitioners in academia, industry, and government to share and discuss the latest advances in this field. SSIAI 2010 will be held at the spectacular Omni Austin Downtown Hotel in Austin, Texas USA. The symposium seeks original contributions reporting novel research directions, results,

  • 2008 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)

    Computational image and video analysis and interpretation continues to be an exciting and dynamic research area. SSIAI-2008 will bring together researchers and practitioners to share and discuss the latest advances in this field. The biennial symposium seeks original contributions reporting novel research directions and exploratory applications.


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Periodicals related to Image segmentation

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...




Xplore Articles related to Image segmentation

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Correction to "Formulating Spatially Varying Performance in the Statistical Fusion Framework" [Jun 12 1326-1336]

Asman, A. J.; Landman, B. A. Medical Imaging, IEEE Transactions on, 2012

In the above titled paper (ibid., vol. 31, no. 6, pp. 1326-1336, Jun. 2012), the first footnote should have included the following. This work was supported in part by NIH/NINDS 1R01EB006136, NIH/NINDS 1R01EB006193,NIH/NINDS 1R03EB012461, and NIH/NINDS 1R21NS064534.


An algorithm for simultaneous motion estimation and scene segmentation

Chang, M.M.; Sezan, M.I.; Tekalp, A.M. Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on, 1994

We present an algorithm that simultaneously performs motion estimation and scene segmentation in image sequences. This algorithm improves upon the traditional approach of using the motion estimates that are obtained separately as input for scene segmentation. Based on the maximum a posteriori probability (MAP) criterion, the interdependence of constraints for motion estimation and scene segmentation are expressed in a Gibbs ...


Remote sensing assisted multi-level crop acreage estimation — An application of small area estimation in Heilongjiang province

Wei Zhou; Jinshui Zhang; Yaozhong Pan; Rong Zhu Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on, 2014

The planted acreage estimation for major crops by using remote sensing is typically combine the sample data from ground survey with information derived from image classification, and the common applied approaches are regression estimator by using linear model and calibration estimator by using confusion matrix. In general, the crop acreage estimation for provincial level in China only satisfied the precision ...


Atlas-based segmentation of white matter structures from DTI using tensor invariants and orientation

de Luis-Garcia, R.; Vegas Sanchez-Ferrero, G.; Aja Fernandez, S.; Alberola-Lopez, C. Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 2013

This paper presents a novel method for the segmentation of anatomical structures in the white matter from DTI (Diffusion Tensor Imaging) data. Our approach is based on: (a) the use of a DTI white matter atlas to guide the segmentation process, (b) the use of tensor invariants and the orientation information of the tensor as features, and (c) a statistical ...


An intelligent depth-based obstacle detection for mobile applications

Chia-Hsiang Lee; Yu-Chi Su; Liang-Gee Chen Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on, 2012

In this paper, we present a depth-based obstacle detection system in computer vision. Segmentation and noise elimination are adopted to capture different obvious objects. High performance is achieved via obstacle extraction. Our framework can be used to help blind people prevent from dangers and applied to other dynamic surveillance applications. The detection rate is above 93.7% outdoors and indoors.


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Educational Resources on Image segmentation

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eLearning

Fuzzy Cluster Analysis in Very Large Data Sets

Bezdek, James C. Fuzzy Cluster Analysis in Very Large Data Sets, 2009

This last module in the series discusses just one approach to the interesting and important problem of clustering in very large (VL) data. The target audience is graduate students majoring in engineering and science, and practicing engineers and scientists interested in either research about or applications of clustering applied to very large real world problems that occur in data mining, ...


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