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Filters: Keyword is image texture  [Clear All Filters]
Liu, L., and P. Fieguth, "Texture classification using compressed sensing", This paper presents a simple, novel, yet very powerful approach for texture classification based on compressed sensing and bag of words model, suitable for large texture database applications with images obtained under unknown viewpoint and illumination. , 2010. PDF icon texture_classification_using_compressed_sensing.pdf (4.52 MB)
Wong, A., W. Zhang, and D. A. Clausi, "IceSynth: An image synthesis system for sea-ice segmentation evaluation", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, 05/2009. PDF icon icesynth_an_image_synthesis_system_for_sea-ice_segmentation_evaluation.pdf (1.05 MB)
N Kachouie, N., and P. Fieguth, "A medical texture local binary pattern for TRUS prostate segmentation", 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. PDF icon a_medical_texture_local_binary_pattern_for_trus_prostate_segmentation.pdf (888.22 KB)
N Kachouie, N., J. Alirezaie, and P. Fieguth, "A hybrid algorithm using discrete cosine transform and Gabor filter bank", 17th Canadian Conference on Electrical and Computer Engineering, 2006. PDF icon a_hybrid_algorithm_using_discrete_cosine_transform_and_gabor_filter_bank_for_texture_segmentation.pdf (390.47 KB)
Clausi, D. A., and H. Deng, Design-based texture feature fusion using Gabor filters and co-occurrence probabilities, vol. 14, pp. 925 - 936, 2005. PDF icon design-based_texture_feature_fusion_using_gabor_filters_and_co-occurrence_probabilities.pdf (924.52 KB)
Maillard, P., D. A. Clausi, and H. Deng, "Operational map-guided classification of SAR sea ice imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, pp. 2940 - 2951, 2005. PDF icon operational_map-guided_classification_of_sar_sea_ice_imagery.pdf (1.51 MB)
Clausi, D. A., and B. Yue, "Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 42, pp. 215 - 228, 2004. PDF icon comparing_cooccurrence_probabilities_and_markov_random_fields_for_texture_analysis_of_sar_sea_ice_imagery.pdf (2.51 MB)
Clausi, D. A., and H. Deng, "Feature fusion for image texture segmentation", 17th International Conference on Pattern Recognition (ICPR), 2004. PDF icon feature_fusion_for_image_texture_segmentation.pdf (334.95 KB)
Deng, H., and D. A. Clausi, "Gaussian MRF rotation-invariant features for image classification", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, pp. 951 - 955, 2004. PDF icon gaussian_mrf_rotation-invariant_features_for_sar_sea_ice_classification.pdf (629.04 KB)
Clausi, D. A., and B. Yue, "Texture segmentation comparison using grey level co-occurrence probabilities and Markov random fields", 17th International Conference on Pattern Recognition (ICPR), Cambridge, United Kingdom, 08/2004. PDF icon texture_segmentation_comparison_of_grey_level_co-occurrence_probabilities_and_markov_random_fields.pdf (403.09 KB)
Clausi, D. A., and H. Deng, "Operational segmentation and classification of SAR sea ice imagery", 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, An Honorary Workshop for Prof. David A. Landgrebe, 2003. PDF icon operational_segmentation_and_classification_of_sar_sea_ice_imagery.pdf (1.63 MB)
Collins, M. J., J. Wiebe, and D. A. Clausi, "The effect of speckle filtering on scale-dependent texture estimation of a forested scene", IEEE Transactions on Geoscience and Remote Sensing, vol. 38, pp. 1160 - 1170, 2000. PDF icon the_effect_of_speckle_filtering_on_scale_dependent_texture_estimation_of_a_forested_scene.pdf (677.27 KB)
Clausi, D. A., and E. Jernigan, "A fast method to determine co-occurrence texture features", IEEE Transactions on Geoscience and Remote Sensing, vol. 36, issue 298 - 300, pp. 298 - 300, 1998. PDF icon a_fast_method_to_determine_co-occurrence_texture_features.pdf (93.35 KB)
Fieguth, P., "Multipole-motivated reduced-state estimation", International Conference on Image Processing, Chicago, 1998. PDF icon multipole_motivated_reduced_state_estimation.pdf (708.72 KB)