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Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo


Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence
Hamid R. Tizhoosh
Teaching
Computer Vision
Machine Intelligence
Data Structures
Research
Pattern Recoginition
Computer Vision
Machine Intelligence
Terahertz Imaging
Health Engineering
Opposition-Based Learning
Students
Current Students
Former Students
Projects
Prostate Cancer
Breast Cancer
Radiation Therapy
Other Projects
Publications
Books & Chapters
Journals
Conferences
Reports etc.
University of Waterloo :: Faculty of Engineering :: Systems Design

Publications …
Conference Papers

2007

  • F.Khalvati, H.R.Tizhoosh, M.Aagaader
    Accelerating Image Processing Algorithms Based on the Reuse of Spatial Patterns
    To be published in CCECE 2007.

  • Farhang Sahba, Hamid R. Tizhoosh and Magdy M.A. Salama
    Application of Opposition-Based Reinforcement Learning in Image Segmentation
    To be published in proceedings of IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Hawaii, April 1-5, 2007

  • Farzad Khalvati, Hamid R. Tizhoosh and Mark D. Aagaard
    Opposition-Based Window Memoization for Morphological Algorithms
    To be published in proceedings of IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007), Hawaii, April 1-5, 2007

  • Hamid R. Tizhoosh and Alice R. Malisia
    Applying Opposition-Based Ideas to the Ant Colony System
    To be published in proceedings of IEEE Swarm Intelligence Symposium (SIS2007), Hawaii, April 1-5, 2007

  • Mario Ventresca and Hamid Tizhoosh
    Simulated Annealing with Opposite Neighbors
    To be published in proceedings of IEEE Symposium on Foundations of Computational Intelligence (FOCI'07), Hawaii, April 1-5, 2007, pp. 186-192.

  • Mario Ventresca and Hamid Tizhoosh
    Opposite Transfer Functions and Backpropagation Through Time
    To be published in proceedings of IEEE Symposium on Foundations of Computational Intelligence (FOCI'07), Hawaii, April 1-5, 2007, pp. 570-577.

  • Hamid R. Tizhoosh, Masoud Mahootchi and K. Ponnambalam
    Opposition-Based Reinforcement Learning in the Management of Water Resources
    To be published in proceedings of IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Hawaii, April 1-5, 2007

  • Shahryar Rahnamayan, Hamid R. Tizhoosh and Magdy M.A. Salama
    Opposition-Based Differential Evolution (ODE) With Variable Jumping Rate
    To be published in proceedings of IEEE Symposium on Foundations of Computational Intelligence (FOCI'07), Hawaii, April 1-5, 2007

  • Hamid R. Tizhoosh, Maryam Shokri and Mohamed S. Kamel
    Opposition-Based Q(lambda) with Non-Markovian Update
    To be published in proceedings of IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Hawaii, April 1-5, 2007

2006

  • S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama
    Weighted Voting-Based Robust Image Thresholding
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 1129-1132.

  • F.Sahba, H.R.Tizhoosh, M.Salama
    Increasing Object recognition Rate Using Reinforced Segmentation
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 781-784

  • E. Mohammadi, H.R.Tizhoosh
    IRIS SEGMENTATION: DETECTING PUPIL, LIMBUS AND EYELIDS
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 2453-2456

  • A.Malisia, H.R.Tizhoosh
    Image Thresholding Using Ant Colony Optimization
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 2409-2412

  • S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama
    Image Thresholding Using Differential Evolution
    Proceedings of International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV-2006), Las Vegas, USA, June 2006, pp. 244-249.

  • Shokri, M., Tizhoosh, H.R., Kamel, M.
    Opposition-Based Q(lambda) Algorithm
    Proceedings of IEEE International Joint Conference on Neural Networks part of IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 646–653, 2006.

  • Ventresca, M., Tizhoosh, H.R.
    Improving the Convergence of Backpropagation by Opposite Transfer Functions
    Proceedings of IEEE International Joint Conference on Neural Networks part of IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 9527–9534, 2006.

  • Sahba, F., Tizhoosh, H.R., Salama, M.M.A.
    A Reinforcement Learning Framework for Medical Image Segmentation
    Proceedings of IEEE International Joint Conference on Neural Networks part of IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 1238–1244, 2006.

  • Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.
    Opposition-Based Differential Evolution Algorithms
    Proceedings of IEEE Congress on Evolutionary Computation part of IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 7363–7370, 2006.

  • Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.
    Opposition-Based Differential Evolution for Optimization of Noisy Problems
    Proceedings of IEEE Congress on Evolutionary Computation part of IEEE World Congress on Computational Intelligence, Vancouver, pp. 6756–6763, 2006.

  • M.Mahhotchi, H.R.Tizhoosh, Ponnuambalam
    Reservoir Operation Optimization by Reinforcement Learning, in “Contemporary Modeling of Urban Water Systems” proceedings of International Conference on Stormwater and Urban Water Systems Modeling

  • M.Shokri, H.R.Tizhoosh, M.Kamel
    Reinforcement Learning for Personalizing Searched Images
    I2LOR 2006 conference, Montreal, November 2006

  • Alice R. Malisia, Hamid R. Tizhoosh
    IMAGE THRESHOLDING USING ANT COLONY OPTIMIZATION
    Third Canadian Conference on Computer and Robot Vision, June 7th-9th at Québec city.

  • S. Rahnamayan, H.R. Tizhoosh, M.M.A Salama
    Opposite of Random Number Instead of Second Random Number
    The 6th Annual MOPTA Conference, Modeling and Optimization: Theory and Applications, University of Waterloo, Waterloo, Canada, Jul. 2006.

  • N. Mooman, H.R. Tizhoosh, O. Basir
    On-line Multi-Agents Reinforcement Learning System: Learning Model System
    ICDE 22

 

2005

  • H.R.Tizhoosh
    Opposition-Based Learning: A New Scheme for Machine Intelligence
    Proceedings of International Conference on Computational Intelligence for Modelling Control and Automation - CIMCA’2005, Vienna - Austria, vol. I, pp. 695-701

  • H.R.Tizhoosh
    Reinforcement Learning Based on Actions and Opposite Actions
    ICGST International Conference on Artificial Intelligence and Machine Learning (AIML-05), Cairo, Egypt

  • S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama
    Recognition of Subjective Objects Based on One Gold Sample
    5th WSEAS International Conference on Signal, Speech and Image Processing (WSEAS SSIP’05), pp. 309-314

  • S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama
    Robust Object Segmentation Using Genetic Optimization of Morphological Processing Chains
    5th WSEAS International Conference on Signal, Speech and Image Processing (WSEAS SSIP’05), pp. 248-253

  • S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama
    Optimization of Object Extraction Based on One User-Prepared Sample
    5th Annual MOPTA, Conference Modeling and Optimization: Theory and Applications July 25-27, 2005 -University of Windsor, Windsor ON Canada

  • Mohammadi, E.M., Tizhoosh, H.R.
    Pattern Analysis Using Zernike Moments IEEE Instrumentation and Measurement Technology Conference, Ottawa, Canada, pp. 1574-1578, 17-19 MAY 2005

  • Ensafi, P., Tizhoosh, H.R.
    Type-2 Fuzzy image enhancement
    International Conference on Image Analysis and Recognition- ICIAR2005, Springer Lecture Notes in Computer Science series (Springer LCNS), Toronto, Canada, Sep. 28-30 (2005)

  • Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.
    Learning Image Filtering from a Gold Sample Based on Genetic Optimization of Morphological Processing
    Proc. of 7th Int. Conf. on Adaptive and Natural Computing Algorithms, Springer-Verlag (Vienna), Coimbra, Portugal (2005), pp. 478-481

  • Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.
    Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images
    International Conference on Image Analysis and Recognition- ICIAR2005, Springer Lecture Notes in Computer Science series (Springer LCNS), Toronto, Canada, Sep. 28-30 (2005), pp. 930-937

  • Sahba, F., Tizhoosh, H.R., Salama, M.M.A.
    Using Reinforcement Learning for Filter Fusion in Image Enhancement
    The Fourth IASTED International Conference on Computational Intelligence, July 4-6, 2005, Calgary, Alberta, Canada.

  • Sahba, F., Tizhoosh, H.R., Salama, M.M.A.
    Segmentation of Prostate Boundaries Using Regional Contrast Enhancement
    The IEEE International Conference on Image Processing (ICIP), September 11-14, 2005, Genova, Italy.

2004

  • Shokri, M., Tizhoosh, H.R.
    Q(lambda)-Based Image Thresholding
    Canadian Conference on Computer and Robot Vision, 2004, pp. 504-508

  • Sahba, F., Tizhoosh, H.R., Salama, M.M.A.
    A new technique for adaptive fuzzy image enhancement for edge detection
    The International Workshop om Multidisciplinary Image, Video and Audio Retrieval andMining, Sherbrooke, Canada, October 25-26, 2004

2003

  • Awad, J., Abdel-Galil, T.K., Salama, M.M.A., Fenster, A., Rizkalla, K., Downey, D.B., and Tizhoosh, H.R.
    Prostate’s Boundary Detection in Transrectal Ultrasound Images Using Scanning Technique
    IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2003), vol. 2, May 2003, pp. 11991202.

  • Shokri, M., Tizhoosh, H.R.
    Using Reinforcement Learning for Image Thresholding
    The Canadian Conference on Electrical and Computer Engineering (CCECE), May 4-7, 2003, Montreal, vol.1, pp. 1231-1234

  • Sahba, F., Tizhoosh, H.R.
    Filter Fusion for Image Enhancement Using Reinforcement Learning
    The Canadian Conference on Electrical and Computer Engineering (CCECE), May 4-7, vol. 2, 2003, Montreal, pp. 847-850

  • Song, J., Tizhoosh, H.R.
    Fuzzy Anisotropic Diffusion: A Rule Based Approach
    Proceedings of the 7thWorld Multiconference on Systemics, Cyebernetics and Informatics, July 27-30, 2003, Orlando, USA, pp. 241-246

  • Seong H.K., Tizhoosh, H.R., Kamel, M.
    Choquet Integral-based Aggregation of Image Template Matching Algorithms
    NAFIPS 2003, July 24-26, 2003, Chicago, pp. 143-148.

2002

  • Tizhoosh, H.R.
    Fast Fuzzy Edge Detection
    NAFIPS 2002, North American Fuzzy Information Processing Society, New Orleans, pp. 239-242

  • Tizhoosh, H.R.
    Observer-Dependent Sharpening
    ICIP 2002, IEEE International Conference on Image Processing, Rochester, USA

2001

  • Tizhoosh, H.R.
    Observer-Dependent Image Enhancement. Proceeding of FUZZ-IEEE 2001, Melbourne, Australia, pp. 23-26

1999

  • Tizhoosh, H.R., Michaelis, B.
    Image Enhancement Based on Fuzzy Aggregation techniques. Oroceedings of 16th IEEE IMTC'99, Venice, Italy, vol. 3, pp. 1813-1817

  • Tizhoosh, H.R.
    An Universal Filter Based on Soft Computing Techniques
    Proc. Of 4th Int. Workshop Neural Networks in Applications (NN'99), Magdeburg, Germany, 1999, pp. 219-224

  • Tizhoosh, H.R., Michaelis, B.
    Subjectivity, Psychology and Fuzzy Techniques: A New Approach to Image Enhancement. NAFIPS'99, New York, USA

1998

  • Tizhoosh, H.R., Krell, G., Michaelis, B.
    Lambda-Enhancement: Contrast adaptation based on Optimization of Image Fuzziness. FUZZ-IEEE'98, pp. 1548-1553, Alaska, USA

  • Tizhoosh, H.R., Michaelis, B.
    Improvement of Image Quality Based on Subjective Evaluation and Fuzzy Aggregation techniques. EUFIT'98, Aachen, Germany, 1998, vol. 2, pp. 1325-1329

  • Tizhoosh, H.R.
    Fuzzy Image Processing: Potentials and State of the Art
    IIZUKA'98, 5th International Conference on Soft Computing, Iizuka, Japan, October 16-20, 1998, vol. 1, pp. 321-324

  • Tizhoosh, H.R. Krell, G., Michaelis, B.
    A Hybrid Neuro Fuzzy System for Knowledge-Based Restoration of Electronic Portal Images in Radiation Therapy
    IIZUKA'98, 5th International Conference on Soft Computing, Iizuka, Japan, October 16-20, 1998, vol. 1, pp. 341-344

1997

  • Tizhoosh, H.R., Krell, G., Michaelis, B.
    Locally Adaptive Fuzzy Image Enhancement. In B. Reusch (Ed.), Computational Intelligence, Theory and Applications. Proc. Of 5th Fuzzy Days'97, Dortmund, Germany, Springer, pp. 272-276

  • Tizhoosh, H.R., Krell, G., Michaelis, B.
    On Fuzzy Image Enhancement of Megavoltage Images in Radiation Therapy. FUZZ-IEEE'97, Spain, 1399-1404

  • Tizhoosh, H.R., Krell, G., Michaelis, B.
    Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. ICIP'97, Santa Barara, USA, 398-401

  • Krell,G., Tizhoosh, H.R., Lilienblum, T., Michaelis, B.
    Enhancement and Associative Restoration of Electonic Portal Images in Radiation Therapy. IEEE Symposium on Computer-Based Medical Systems 1997, Maribor, Slovenien, 104-108

  • Krell,G., Tizhoosh, H.R., Lilienblum, T., Michaelis, B.
    Fuzzy Image Enhancement and Associative Feature Matching in Radiotherapy. ICNN'97, Houston, USA, 1490-1495

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