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Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation
It is argued that scale-based affinity, and hence connectedness, is natural in object definition and demonstrates that this leads to more effective object segmentation. Expand
Fuzzy connectedness and image segmentation
A tutorial review of the fuzzy connectedness framework delineating the various advances that have been made is given with several medical applications in the areas of Multiple Sclerosis of the brain, magnetic resonance (MR) and computer tomographic (CT) angiography, brain tumor, mammography, upper airway disorders in children, and colonography. Expand
Methodology for evaluating image-segmentation algorithms
A framework for evaluating image segmentation algorithms based on precision, accuracy, and efficiency is described, which indicates that it is impossible usually to establish true segmentation. Expand
Iterative relative fuzzy connectedness for multiple objects with multiple seeds
A new theory and an algorithm for image segmentation based on a strength of connectedness between every pair of image elements based on the notion of iterative relative fuzzy connectedness, IRFC, is presented. Expand
Role of Magnetic Resonance for Assessing Structure and Function of Trabecular Bone
New approaches conceived in the authors' laboratory toward acquisition, processing, and structural analysis of trabecular bone images in the limited spatial resolution regimen of in vivo &mgr; MRI are shown to provide detailed insight into the three-dimensional trabECular network topology and scale at the distal radius or distal tibia that typically serve as surrogate sites. Expand
Disclaimer: "Relative fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation"
A theoretical and algorithmic framework for defining objects via relative connectedness is presented and it is demonstrated utilizing the theory that the objects defined are independent of reference elements chosen as long as they are not in the fuzzy boundary between objects. Expand
Complete Volumetric Decomposition of Individual Trabecular Plates and Rods and Its Morphological Correlations With Anisotropic Elastic Moduli in Human Trabecular Bone
  • X. Liu, P. Sajda, +4 authors X. E. Guo
  • Materials Science, Medicine
  • Journal of bone and mineral research : the…
  • 1 October 2007
The ITS‐based morphological analyses better characterize microarchitecture and help predict anisotropic mechanical properties of trabecular bone. Expand
Optimum Image Thresholding via Class Uncertainty and Region Homogeneity
  • P. K. Saha, J. Udupa
  • Mathematics, Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1 July 2001
A thresholding method that accounts for both intensity-based class uncertainty-a histogram-based property-and region homogeneity-an image morphology-basedproperty is introduced that was observed both qualitatively on clinical medical images and quantitatively on 250 realistic phantom images generated by adding different degrees of blurring, noise, and background variation to real objects segmented from clinical images. Expand
Fuzzy Distance Transform: Theory, Algorithms, and Applications
The theoretical framework of FDT in continuous space is extended to digital cubic spaces and it is shown that for any fuzzy digital object, fuzzy distance is a metric for the support of the object. Expand
Quantitative MRI for the assessment of bone structure and function
The focus of this review is on the emerging methodology of quantitative MRI for the assessment of structure and function of trabecular bone. Expand