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Texture and color segmentation based on the combined use of the structure tensor and the image components.

, , and . Signal Processing, 88 (4): 776-795 (2008)

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Automatic articulated registration of hand radiographs., , , , , and . Image Vision Comput., 27 (8): 1207-1222 (2009)Texture and color segmentation based on the combined use of the structure tensor and the image components., , and . Signal Processing, 88 (4): 776-795 (2008)Local texture descriptors for the assessment of differences in diffusion magnetic resonance imaging of the brain., , and . Int. J. Comput. Assist. Radiol. Surg., 12 (3): 389-398 (2017)Tensor Processing for Texture and Colour Segmentation., , , and . SCIA, volume 3540 of Lecture Notes in Computer Science, page 1117-1127. Springer, (2005)Noise estimation in magnetic resonance SENSE reconstructed data., , , and . EMBC, page 1104-1107. IEEE, (2013)Segmentation of Tensor Fields: Recent Advances and Perspectives., , and . Tensors in Image Processing and Computer Vision, Springer, (2009)A fully automatic algorithm for contour detection of bones in hand radiographs using active contours., , , and . ICIP (3), page 421-424. (2003)Pull-push level sets: a new term to encode prior knowledge for the segmentation of teeth images., , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)A multidimensional segmentation evaluation for medical image data., , and . Computer Methods and Programs in Biomedicine, 96 (2): 108-124 (2009)Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach., , , , , and . TEEM, page 477-482. ACM, (2018)