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Coarse-to-fine skeletons from grey-level pyramids
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002Coarse-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
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Grey-level encoding of openings and closings
SPIE Proceedings, 1993A 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
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Grey level thresholding using second-order statistics
Pattern Recognition Letters, 1983This 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
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Shape-based interpolation of grey-level images
2010 2nd International Conference on Advanced Computer Control, 2010The 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
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Shape-based interpolation of multidimensional grey-level images
IEEE Transactions on Medical Imaging, 1996Shape-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
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Fast corner detection in grey-level images
Pattern Recognition Letters, 1994Abstract 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
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Mapping Grey-Levels on 3D Segmented Anatomical districts
2019108
Paccini M., Patane G., Spagnuolo M.
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Grey level modification sleganography for secret communication
2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004, 2005Security, 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
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Experimental Review of “Grey Level Modification” Steganography
International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015Steganography 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, 2011A 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
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