David Clausi


Contact InformationDavid Clausi

Office: EC4 2039
Phone: (519) 888-4567 ext. 32604
Fax: (519) 746-4791
Email: dclausi@uwaterloo.ca
Website: Vision and Image Processing lab


  • B.A.Sc. - University of Waterloo
  • M.A.Sc. - University of Waterloo
  • Ph.D. - University of Waterloo

Research Interests:

Dr. Clausi's research interests include computer vision, digital image processing, and pattern recognition. His current emphasis involves developing automated interpretation algorithms to extract relevant information from remotely sensed imagery. Remote sensing images are generally quite large and require considerable time and effort to manually process and interpret. The recent higher resolution aerial and satellite-based sensors have compounded this problem. Automated feature extraction and classification schemes are preferable.

Another current research theme is the application of such algorithms to the computer-aided interpretation of biomedical images.

Two basic requirements must be addressed when designing algorithms to extract meaningful information from image data: algorithmic efficiency and feature extraction accuracy. Efficient algorithms ensure that the product is produced in a timely fashion. For example, the design of improved dedicated unsupervised clustering approaches to quantify natural groupings of data is important. Accuracy is important to characterize the image data in a manner similar to the human operator. Texture feature extraction plays an important role in accurate interpretation of remotely sensed imagery. Care must be taken to account for the image formation model in the feature extraction process.

Selected Publications:

[1] Siva, P., Brodland, G.W., and Clausi, D.A. (Accepted August 2009) Detecting mitoses in time-lapse images of embryonic epithelia using intensity analysis. Annals of Biomedical Engineering., full paper.

[2] Wong, A., Mishra, A., Yates, J., Fieguth, P., Clausi, D.A., and Callaghan, J.P. (Accepted June 2009) Intervertebral disc segmentation and volumetric reconstruction from peripheral quantitative computer tomography imaging. IEEE Transactions on Biomedical Engineering.

[3] Wong, A. and Clausi, D.A. (Accepted May 2009) AISIR: Automated inter-sensor/inter-band satellite image registration using robust complex wavelet feature representations, Pattern Recognition Letters, Special Issue on Pattern Recognition in Remote Sensing, full paper.

[4] Clausi, D.A., Qin, K., Chowdhury, M.S., Yu, P. Maillard, P. (Accepted April 2009) MAGIC: MAp-Guided Ice Classification, Canadian Journal of Remote Sensing, full paper.

[5] Yu, P., Clausi, D.A., and Howell, S.E.L. (2009) Fusing AMSR-E and QuikSCAT imagery for improved sea ice recognition. IEEE Transactions Geoscience and Remote Sensing, 47(7), 1980-1989.

[6] Siva, P., Brodland, G.W., and Clausi, D.A. (2009) Detection of mitoses in embryonic epithelia using motion field analysis, Computer Methods in Biomechanics and Biomedical Engineering. 12(2), pp.165-172.

[7] Maillard, P., Alencar-Silva, T., and Clausi, D.A. (2008) An evaluation of RADARSAT-1 and ASTER data for mapping veredas (palm swamps). Sensors, 8, pp. 6055-6076.

[8] Yu, Q. and Clausi, D.A. (2008) IRGS: MRF based image segmentation using edge penalties and region growing. IEEE Transaction Pattern Analysis and Machine Intelligence, 30(12), pp. 2126-2139.

[9] Yu, Q. and Clausi, D.A. (2007) SAR sea-ice image analysis based on iterative region growing using semantics, IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 12, Part I, pp. 3919-3931.

[10] Wong, A. and Clausi, D.A. (2007) ARRSI: Automatic registration of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 5, Part II, pp. 1483-1493.

[11] Iles, P., Brodland, G.W., Clausi, D.A., and Puddister, S. (2007) Estimation of cellular fabric in embryonic epithelia. Computer Methods in Biomechanics and Biomedical Engineering, Vol. 10, No. 1, pp. 75-84.

University of Waterloo

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