Conferences related to Image segmentation

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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.

  • 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.

  • 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)


2016 IEEE International Conference on Image Processing (ICIP)

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


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, ...



Most published Xplore authors for Image segmentation

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Xplore Articles related to Image segmentation

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A Model for Indexing Videos and Still Images from the Moroccan Cultural Heritage

Ibrahima Mbaye; Rachid Oulad Haj Thami; Jose Martinez 2005 IEEE 7th Workshop on Multimedia Signal Processing, 2005

In this paper, we propose a flexible (meta) model for indexing videos, applied to the Moroccan cultural heritage. The model is rather generic, able to describe documentaries, advertisements, movies, and other video types. Our goal is to develop a tool for navigating into a joint database of video and related images, based both on visual contents and manual annotations. We ...


Improved color and intensity patch segmentation for human full-body and body-parts detection and tracking

Hai-Wen Chen; Mike McGurr Advanced Video and Signal Based Surveillance (AVSS), 2014 11th IEEE International Conference on, 2014

This paper presents a new way for detection and tracking of human full-body and body-parts (head, torso, arms, and legs) with color and intensity patch segmentation. The original R, G, and B are transformed to H (hue), S (saturation), and V (value) domain, as well as to Y, I, and Q for the NTSC system. With the help of morphological ...


QR code detection using convolutional neural networks

Tzu-Han Chou; Chuan-Sheng Ho; Yan-Fu Kuo Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on, 2015

Barcodes have been long used for data storage. Detecting and locating barcodes in images of complex background is an essential yet challenging step in the process of automatic barcode reading. This work proposed an algorithm that localizes and segments two-dimensional quick response (QR) barcodes. The localization involved a convolutional neural network that could detect partial QR barcodes. Majority voting was ...


P5C-3 Field Simulation Parameters Design for Realistic Statistical Parameters of Radio - Frequency Ultrasound Images

H. Liebgott; O. Bernard; C. Cachard; D. Friboulet Ultrasonics Symposium, 2007. IEEE, 2007

In this paper we present a study for designing realistic ultrasound image simulations from a statistical point of view. Indeed it is extremely important to be able to compute realistic simulated images for validating segmentation or classification methods based on the statistics of ultrasound images. The statistics of the radio frequency (RF) signals is modeled by a distribution called K-RF ...


Robust color image segmentation based on mean shift and marker-controlled watershed algorithm

Chen Pan; Cong-Xun Zheng; Hao-Jun Wang Machine Learning and Cybernetics, 2003 International Conference on, 2003

A new method for color image segmentation is presented. It combines mean shift with watershed algorithm to get robust results. First, mean shift procedure is used to find the highest density regions which correspond to clusters centered on the modes (local maxima) of the underlying probability distribution in the feature space. The principal component of each significant color is extracted ...


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Educational Resources on Image segmentation

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eLearning

A Model for Indexing Videos and Still Images from the Moroccan Cultural Heritage

Ibrahima Mbaye; Rachid Oulad Haj Thami; Jose Martinez 2005 IEEE 7th Workshop on Multimedia Signal Processing, 2005

In this paper, we propose a flexible (meta) model for indexing videos, applied to the Moroccan cultural heritage. The model is rather generic, able to describe documentaries, advertisements, movies, and other video types. Our goal is to develop a tool for navigating into a joint database of video and related images, based both on visual contents and manual annotations. We ...


Improved color and intensity patch segmentation for human full-body and body-parts detection and tracking

Hai-Wen Chen; Mike McGurr Advanced Video and Signal Based Surveillance (AVSS), 2014 11th IEEE International Conference on, 2014

This paper presents a new way for detection and tracking of human full-body and body-parts (head, torso, arms, and legs) with color and intensity patch segmentation. The original R, G, and B are transformed to H (hue), S (saturation), and V (value) domain, as well as to Y, I, and Q for the NTSC system. With the help of morphological ...


QR code detection using convolutional neural networks

Tzu-Han Chou; Chuan-Sheng Ho; Yan-Fu Kuo Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on, 2015

Barcodes have been long used for data storage. Detecting and locating barcodes in images of complex background is an essential yet challenging step in the process of automatic barcode reading. This work proposed an algorithm that localizes and segments two-dimensional quick response (QR) barcodes. The localization involved a convolutional neural network that could detect partial QR barcodes. Majority voting was ...


P5C-3 Field Simulation Parameters Design for Realistic Statistical Parameters of Radio - Frequency Ultrasound Images

H. Liebgott; O. Bernard; C. Cachard; D. Friboulet Ultrasonics Symposium, 2007. IEEE, 2007

In this paper we present a study for designing realistic ultrasound image simulations from a statistical point of view. Indeed it is extremely important to be able to compute realistic simulated images for validating segmentation or classification methods based on the statistics of ultrasound images. The statistics of the radio frequency (RF) signals is modeled by a distribution called K-RF ...


Robust color image segmentation based on mean shift and marker-controlled watershed algorithm

Chen Pan; Cong-Xun Zheng; Hao-Jun Wang Machine Learning and Cybernetics, 2003 International Conference on, 2003

A new method for color image segmentation is presented. It combines mean shift with watershed algorithm to get robust results. First, mean shift procedure is used to find the highest density regions which correspond to clusters centered on the modes (local maxima) of the underlying probability distribution in the feature space. The principal component of each significant color is extracted ...


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