Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Luren Yang"'
Publikováno v:
Graphical Models and Image Processing. 59:97-108
The three-dimensional Cartesian geometric moments (for short 3-D moments) are important features for 3-D object recognition and shape description. To calculate the moments of objects in a 3-D image by a straightforward method requires a large number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03d52301abdba3966aade12b2b82ddb6
https://doi.org/10.1006/gmip.1997.0418
https://doi.org/10.1006/gmip.1997.0418
Autor:
Fritz Albregtsen, Luren Yang
Publikováno v:
Pattern Recognition. 29:1061-1073
Green's theorem evaluates a double integral over a planar object by a simple integration along the boundary of the object. It can be used in fast computation of Cartesian geometric moments of two-dimensional binary objects, since the object shape is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5426c0457dd074030812e15c7bb28f61
https://doi.org/10.1016/0031-3203(95)00147-6
https://doi.org/10.1016/0031-3203(95)00147-6
Publikováno v:
Scopus-Elsevier
This paper deals with high-resolution beamforming for multibeam echo sounders with a linear receive-array. A fundamental limitation of the conventional beamformer is that the angular resolution depends upon the size of the receive-array. The use of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1a5c991fd4995b9e42065895559d58
https://doi.org/10.1109/oceans.1999.804997
https://doi.org/10.1109/oceans.1999.804997
Autor:
Fritz Albregtsen, Luren Yang
Publikováno v:
ICPR (1)
Invariant geometric moments have been widely used in shape analysis and pattern recognition. Using a discrete version of Green's theorem, the authors propose a method for fast computation of the moments in binary images. The method is similar to-and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5f85dbc675a92d4c35aa827f8017cac
https://doi.org/10.1109/icpr.1994.576257
https://doi.org/10.1109/icpr.1994.576257
Publikováno v:
Oceans '97. MTS/IEEE Conference Proceedings.
In multibeam sonar bathymetry, a receiving array is used to form a fan-shaped beam sector. Bottom echoes of near-normal incident angles are usually detected based on the amplitude of the received signal. To detect bottom echoes of oblique incident an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::885a5ea36fef1b245acad8abf3cb23df
https://doi.org/10.1109/oceans.1997.624118
https://doi.org/10.1109/oceans.1997.624118
Autor:
Torfinn Taxt, Luren Yang
Publikováno v:
Oceans '97. MTS/IEEE Conference Proceedings.
Two new bottom detection methods for multibeam bathymetric sonars are presented. Both of the methods are based on the early separate aperture method which combines amplitude and phase in the bottom detection. As a generalization of the separate apert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62e6e33e613ab785670a05a5b5161181
https://doi.org/10.1109/oceans.1997.624116
https://doi.org/10.1109/oceans.1997.624116
Publikováno v:
International Series in Intelligent Technologies ISBN: 9789401038720
Advances in Computational Intelligence and Learning
Advances in Computational Intelligence and Learning
When artificial neural networks (ANN) are used in prediction problems, it is usually desirable that some form of confidence bound is placed on the predicted value. Methods to estimate the confidence bound are available. However, these methods are val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1af95e77a6d870bf9ed66b57189fb4b
https://doi.org/10.1007/978-94-010-0324-7_5
https://doi.org/10.1007/978-94-010-0324-7_5
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783540602682
CAIP
CAIP
Evaluation is an important step in developing a segmentation algorithm for an image analysis system. We first give a review of segmentation evaluation methods, and then demonstrate how a supervised evaluation method based on shape features is used in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95a4c0de8ea6ff2df3722801d0f6cf6c
https://doi.org/10.1007/3-540-60268-2_377
https://doi.org/10.1007/3-540-60268-2_377
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783540602682
CAIP
CAIP
A new texture analysis approach is applied to the problem of classification of pathological states from electron microscopy images of mouse liver cell nuclei. For each pixel in the image, a region of consistent connected neighbouring pixels is extrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1569c020b3f16c3385739a3b572d605f
https://doi.org/10.1007/3-540-60268-2_334
https://doi.org/10.1007/3-540-60268-2_334