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Coarse-to-fine skeletons from grey-level pyramids

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
Coarse-to-fine skeletons of digital patterns in binary images are computed on a grey-level pyramid. This is built in such a way that pattern shape and topology are preserved at all resolution levels, as faithfully as possible. A key problem is spurious holes, created at lower resolutions by region merging, that would originate spurious loops in coarse ...
G Borgefors   +2 more
openaire   +1 more source

Grey-level encoding of openings and closings

SPIE Proceedings, 1993
A distance transform will convert a bi-level image into a gray scale image, where the intensity of the object pixels is proportional to their distance from the nearest back-ground pixel. This can be computed in two passes through an image, and has been used to encode all binary erosions and dilations into one `globally eroded' image.
James R. Parker, D. Horsley
openaire   +1 more source

Grey level thresholding using second-order statistics

Pattern Recognition Letters, 1983
This letter describes algorithms for global thresholding of grey-tone images which use second-order grey level statistics. Two measures of interaction between classes of intensity levels are defined on simple co-occurance matrices and are used to evaluate and select thresholds. One of these measures is seen to be independent of the grey level histogram
F. Deravi, S.K. Pal
openaire   +1 more source

Shape-based interpolation of grey-level images

2010 2nd International Conference on Advanced Computer Control, 2010
The two given gray images are preprocessed, including filtering image processing, on the fault slice image binarization segmentation processing and image of the two distribution centers. Mathematical morphology is used to acquire the contour of the interpolated image.
null Qian Jin   +4 more
openaire   +1 more source

Shape-based interpolation of multidimensional grey-level images

IEEE Transactions on Medical Imaging, 1996
Shape-based interpolation as applied to binary images causes the interpolation process to be influenced by the shape of the object. It accomplishes this by first applying a distance transform to the data. This results in the creation of a grey-level data set in which the value at each point represents the minimum distance from that point to the surface
G J, Grevera, J K, Udupa
openaire   +2 more sources

Fast corner detection in grey-level images

Pattern Recognition Letters, 1994
Abstract Corners in grey-level images are detected by a real-time parameter-free algorithm. Only few locally parallel integer operations on 3 × 3 pixel matrices and on six-membered strings of edge elements are required. Within a given direction quantization, local curvature is approximated by finite differences.
U. Seeger, R. Seeger
openaire   +1 more source

Grey level modification sleganography for secret communication

2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004, 2005
Security, privacy, anti-virus, trusted computing, intrusion detection and information protection are major concerns in today's industrial informatics. They are regarded as critical components for industrial based IT solutions (Zincheng, N et al.,2003). Most industrial software systems rely on the third party vendors to provide the safeguards.
V.M. Potdar, E. Chang
openaire   +1 more source

Experimental Review of “Grey Level Modification” Steganography

International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015
Steganography is the science of hidden writing schemes in which the presence of concealed information is not noticeable. It is a gifted approach for secure electronic communication and transmission of secret data safely over the internet. This paper is the detailed experimental analysis and review of "Grey Level Modification Steganography for Secret ...
Aqsa Rashid, Muhammad Khurrum Rahim
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On grey levels in random CAPTCHA generation

SPIE Proceedings, 2011
A CAPTCHA is an automatically generated test designed to distinguish between humans and computer programs; specifically, they are designed to be easy for humans but difficult for computer programs to pass in order to prevent the abuse of resources by automated bots.
Fraser Newton, Michael A. Kouritzin
openaire   +1 more source

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