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HTS: A new shape descriptor based on Hough Transform
(2013-09-09)
In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental ...
ESTIMATING SHAPE CORRESPONDENCE FOR POPULATIONS OF OBJECTS WITH COMPLEX TOPOLOGY
(Ieee, 2018-01-01)
Statistical shape analysis captures the geometric properties of a given set of shapes, obtained from medical images, by means of statistical methods. Orthognathic surgery is a type of craniofacial surgery that is aimed at ...
Estimating shape correspondence for populations of objects with complex topology
(2018-05-23)
Statistical shape analysis captures the geometric properties of a given set of shapes, obtained from medical images, by means of statistical methods. Orthognathic surgery is a type of craniofacial surgery that is aimed at ...
HTS: A new shape descriptor based on Hough Transform
(2013-09-09)
In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental ...
HTS and HTSn: New shape descriptors based on Hough transform statistics
(Elsevier B.V., 2014-10-01)
With the widespread proliferation of computers, many human activities entail the use of automatic image analysis. The basic features used for image analysis include color, texture, and shape. In this paper, we propose a ...
Shape analysis using multiscale hough transform statistics
(2015-01-01)
With the widespread proliferation of computers, many human activities entail the use of automatic image analysis. The basic features used for image analysis include color, texture, and shape. In this paper, we propose MHTS ...
HTS and HTSn: New shape descriptors based on Hough transform statistics
(Elsevier B.V., 2015)
HTS and HTSn: New shape descriptors based on Hough transform statistics
(Elsevier B.V., 2015)