Results 251 to 260 of about 49,221,189 (338)
Deciphering Breast Cancer Complexity: A Study on the Predictive Power of MRI Texture Analysis for Tumor Characterization and Treatment Response. [PDF]
J Belg Soc RadiolGüzel HE +4 more
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Construction of a prognostic survival model for colorectal cancer patients using CT image texture analysis: a prospective cohort study. [PDF]
Front OncolSun CH +5 more
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Texture Analysis in Musculoskeletal Ultrasonography: A Systematic Review. [PDF]
Diagnostics (Basel)Jan YK, Hung IY, Cheung WC.
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Handbook of Image Processing and Computer Vision, 2018 Chip manufacturing company moves from Al interconnects into Cu-based technology. Now the task is to establish proper conditions for the Cu film growth on Si.
A. Distante, C. Distante
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Muscle Composition Analysis of Ultrasound Images: A Narrative Review of Texture Analysis.
Ultrasound in Medicine and Biology, 2021Skeletal muscle composition, often characterized by the degree of intramuscular adipose tissue, deteriorates with aging and disease and contributes to impairments in function and metabolism. Ultrasound can provide surrogate measures of muscle composition
Michael T. Paris, M. Mourtzakis
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Procedings of the Alvey Vision Conference 1988, 1988
Several researchers have investigated the role of texture as a basis for the recovery of surface orientation. Gibson 1 was the first to address the problem of recovering the orientation of a plane covered with textural elements. He assumed that the density (number of elements per unit area) of these elements is uniform.
Andrew Blake 0001, Constantinos Marinos
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Several researchers have investigated the role of texture as a basis for the recovery of surface orientation. Gibson 1 was the first to address the problem of recovering the orientation of a plane covered with textural elements. He assumed that the density (number of elements per unit area) of these elements is uniform.
Andrew Blake 0001, Constantinos Marinos
openaire +1 more source
International Journal of Computer Vision and Image Processing, 2014
Image analysis is emerging as an important research area. The study of certain methods of image processing by the texture characteristic has been made in this paper. Existing texture analysis algorithms are studied and classified into four categories: statistical methods, structural methods, model based methods and Transform based methods.
Izem Hamouchene, Saliha Aouat
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Image analysis is emerging as an important research area. The study of certain methods of image processing by the texture characteristic has been made in this paper. Existing texture analysis algorithms are studied and classified into four categories: statistical methods, structural methods, model based methods and Transform based methods.
Izem Hamouchene, Saliha Aouat
openaire +2 more sources
Multifractals, texture, and image analysis
Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003Image analysis using texture and multifractal paradigms is addressed. Multifractal theory and its application to image description are discussed, and it is shown that this approach allows the discrete signal to be worked on directly. A system for texture classification that is based on a learning scheme and does not make use of any a priori model is ...
Lévy Véhel, Jacques +2 more
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