نتایج جستجو برای: geometrical features

تعداد نتایج: 549034  

2008
Piotr BORKOWSKI Tomasz SOWIŃSKI Krzysztof KWIATKOWSKI Konstanty SKALSKI Magdalena ŻABICKA Mark POLCZYŃSKI

Piotr BORKOWSKI, Warsaw University of Technology, Institute of Mechanics and Design, Warsaw, Tomasz SOWIŃSKI, Military Institute of the Health Services, Department of Orthopaedics, Warsaw, Krzysztof KWIATKOWSKI, Military Inst. of the Health Services, Depart. of Orthopaedics, Warsaw, Konstanty SKALSKI, Warsaw University of Technology, Institute of Mechanics and Design,Warsaw, Magdalena ŻABICKA, ...

Journal: :Image Vision Comput. 2012
Enrico Vezzetti Federica Marcolin

Morphometric measures and geometrical features are widely used to descript faces. Generally, they are extracted punctually from landmarks, namely anthropometric reference points. The aims are various, such as face recognition, facial expression recognition, face detection, study of changes in facial morphology due to growth, or dysmorphologies. Most of the time, landmarks were extracted with th...

1994
J. B. Antoine Maintz Petra A. van den Elsen Max A. Viergever

In this paper, we will show the feasibility of using ridgeness for rigid automatic matching of CT and MR brain images. Image ridgeness can be computed by convolving the image with derivatives of Gaussians. The speci c derivatives involved are based on the local gradient and second order structure. The width of the used Gaussian determines the locality of the ridgeness computed.

2015
K. B. Neelima

The aim of our robust technique using watermarking is to reconstruct watermark from geometric attacks. Various geometric transformations, such as rotation, scaling, cropping, shear, translation, resize, scattering, bending, and so on, provides the displacement of some of its picture elements. The existing watermarking algorithms countermeasures the attacks related to pixel positions. In our pap...

2003
Minakshi Banerjee Malay Kumar Kundu

This paper presents a robust technique for Content Based Image Retrieval (CBIR) using fuzzy edge map of an image. Fuzzy compactness vector is computed from fuzzy edge map thresholded at different levels of the unsegmented image, which also incorporates gray level contrast information embedded in the edges. The resemblance of two images is defined as the similarity between the computed feature v...

Journal: :IEEE transactions on medical imaging 1996
Calvin R. Maurer Georges B. Aboutanos Benoit M. Dawant Robert J. Maciunas J. Michael Fitzpatrick

The authors present a weighted geometrical feature (WGF) registration algorithm. Its efficacy is demonstrated by combining points and a surface. The technique is an extension of Besl and McKay's (1992) iterative closest point (ICP) algorithm. The authors use the WGF algorithm to register X-ray computed tomography (CT) and T2-weighted magnetic resonance (MR) volume head images acquired from elev...

D. Wu, J. Li, J. Tu, R. Xin, W. Zhang, Z. Zhou,

Background: The design of intensity modulated radiation therapy (IMRT) plans is difficult and time-consuming. The retrieval of similar IMRT plans from the IMRT plan dataset can effectively improve the quality and efficiency of IMRT plans and automate the design of IMRT planning. However, the large IMRT plans datasets will bring inefficient retrieval result. Materials and Methods: An intensity-m...

2006
J. Apostolakis

The Geometry modeller is a key component of the Geant4 toolkit [1,2]. It has been designed to exploit at the best the features provided by the Geant4 simulation toolkit, allowing the description of the geometrical structure of complex detectors in a natural way, ranging from a few up to hundreds of thousands volumes of the LHC experiments, as well as human phantoms for medical applications or d...

2016

Cluster validation is an important issue in fuzzy clustering research and many validity measures, most of which are motivated by intuitive justification considering geometrical features, have been developed. This paper proposes a new validation approach, which evaluates the validity degree of cluster partitions from the view point of the optimality of objective functions in FCM-type clustering....

Journal: :IJFSA 2011
Katsuhiro Honda Akira Notsu Tomohiro Matsui Hidetomo Ichihashi

Cluster validation is an important issue in fuzzy clustering research and many validity measures, most of which are motivated by intuitive justification considering geometrical features, have been developed. This paper proposes a new validation approach, which evaluates the validity degree of cluster partitions from the view point of the optimality of objective functions in FCM-type clustering....

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