Publications

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Conference Paper
P. Scheunders, Wavelet representations of multivalued images, in Wavelet Applications in Industrial Processing, part of the International Symposium on Photonics Technologies for Robotics, Automation, and Manufacturing , 27-31 October 2003, Providence, RI USA, 2003, pp. 203-215.
A. Pizurica, Philips, W., and Scheunders, P., Wavelet domain denoising of single-band and multi-band images adapted to the probability of the presence of features of interes, in SPIE Wavelets XI, San Diego, California, USA, 31 July – 4 Aug, 2005, vol. 5914, pp. 508-521.
A. Pizurica, Huysmans, B., Scheunders, P., and Philips, W., Wavelet domain denoising of multispectral remote sensing imagery adapted to the local spatial and spectral context, in IEEE International Geoscience and Remote Sensing Symp. IGARSS 2005, Seoul, Korea, 25-29 July, Seoul, Korea, 2005, vol. 6, pp. 4260-4263.
P. Scheunders and De Backer, S., Wavelet Denoising of multicomponent images using a noise-free image, in ICIP’06, IEEE International Conference on Image Processing, Atlanta, Georgia, October 8-11, 2006, pp. 2619-2622.
P. Scheunders and De Backer, S., Wavelet Denoising of multicomponent images using a Gaussian Scale Mixture model, in ICPR’06, International Conference on Pattern Recognition, Hong Kong, august 20-24, 2006, vol. 3, pp. 754-757.
J. Driesen and Scheunders, P., Wavelet based segmentation of multivalued images, in SPIE Optics East, 23-26 October, Boston, Massachusetts USA, 2005, vol. 6001, pp. 13-22.
J. Driesen and Scheunders, P., Wavelet based segmentation of multi-component images, in IEEE BENELUX/DSP Valley Signal Processing Symposium (SPS-DARTS) March 28-29, Antwerp, Belgium, 2006, pp. 151-154.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., Wavelet Based Hyperspectral Data Analysis for Vegetation Stress Classification, in Proc. of Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, 2004, pp. 387-391.
J. Driesen and Scheunders, P., Wavelet based Filter Array Demosaicking, in Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, 2004, pp. 3311-3314.
P. Kempeneers, De Backer, S., Debruyn, W., and Scheunders, P., Wavelet Based Feature Extraction for Hyperspectral Vegetation Monitoring, in SPIE International Symposium on Remote Sensing, Image and Signal Processing for Remote Sensing IX, Barcelona, Spain, 2003, pp. 297-305.
J. Sijbers, Van Der Linden, A., Scheunders, P., Van Audekerke, J., Van Dyck, D., and Raman, E., Volume quantization of the mouse cerebellum by semi-automatic 3D segmentation of MR images, in Proceedings of SPIE Medical Imaging, Newport Beach CA, USA, 1996, vol. 2710, pp. 553-560.
G. Van de Wouwer, Scheunders, P., Van Dyck, D., Wuyts, F. L., and Van de Heyning, P. H., Voice classification by wavelet transforms and fuzzy interpreted LVQ networks, in Proceedings International Symposium on Soft Computing and Intelligent Industrial Automation, Reading, UK, March 26-28, 1996, pp. 171-177.
J. Ganseman, Scheunders, P., and D'haes, W., Using XQUERY on MusicXML databases for musicological analysis, in ISMIR 2008, 9-th International Conference on Music Information Retrieval, Philadephia, USA, 14-18 september, 2008, pp. 433-438.
J. Ganseman, Scheunders, P., and D'haes, W., Using XML-formatted scores in real-time applications, in 10-th International Society for Music Information Retrieval Conference, pp. 663-668, Kobe, Japan, October 26-30, 2009, pp. 663-668.
G. Thoonen, Hufkens, K., Vanden Borre, J., and Scheunders, P., Using patch metrics as validation for contextual classification of heathland vegetation., in Proceedings of GEOBIA 2010, the Geographic Object-Based Image Analysis Conference, 2010, vol. XXXVIII-4/C7.
J. Ganseman, Scheunders, P., and D'haes, W., Using MusicXML in real-time applications, in Proceedings of the 34th Euromicro conference on Software Engineering and Advanced Applications, Parma, Italy, September 3-5, 2008, pp. 29-30.
C. C. Hung, Coleman, T., and Scheunders, P., Using genetic differential competitive learning for unsupervised training in multispectral image classification systems, in Proceedings IEEE International Conference on Systems, Man, and Cybernetics , San Diego, California, October 11-14, 1998, pp. 4482-4485.
J. Sijbers, Scheunders, P., Van Dyck, D., and Raman, E., The use of two NMR realizations for determining and improving of the image SNR, in Proceedings of the Joint Meeting of the Belgian and Dutch Societies for Electron Microscopy, Arnhem, Papendal, The Netherlands, 1994, p. 65.
P. Kempeneers, De Backer, S., Delalieux, S., Sterckx, S., Debruyn, W., Coppin, P., and Scheunders, P., Upscaling of spectroradiometer data for stress detection in orchards with remote sensing, in SPIE Remote Sensing, Gran Canaria, 13-16 september, Maspalomas, Spain, 2004, vol. 127, pp. 37-45.
D. Burazerovic, Geens, B., Heylen, R., Sterckx, S., and Scheunders, P., Unmixing for detection and quantification of adjacency effects, in IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, 2012, pp. 3090-3093.
J. Sijbers, den Dekker, A. J., Scheunders, P., Raman, E., and Van Dyck, D., Unbiased signal estimation in magnitude MR images, in Proceedings of the European Society for Magnetic Resonance in Medicine and Biology, Brussels, Belgium, 1997, vol. 2, p. 174.
W. Liao, Huang, F., v. Coillie, F., Thoonen, G., Pizurica, A., Scheunders, P., and Philips, W., Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter, in IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.
T. Nath, Liu, G., Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., Tracking for Quantifying Social Network of Drosophila Melanogaster, in 15th Computer Analysis of Images and Patterns (CAIP), 2013, vol. 8048, pp. 539–545.
D. Burazerovic, Heylen, R., and Scheunders, P., Towards streaming hyperspectral endmember extraction, in IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium , Vancouver, July 25-29, 2011.
S. De Backer and Scheunders, P., Texture segmentation by frequency-sensitive elliptical competitive learning, in Proc. ICIAP99, International Conference on Image Analysis and Processing , Venice, Italy, september 27-29, 1999, pp. 64-69.

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