PKCS: A Polynomial Kernel Family With Compact Support for Scale- Space Image Processing

2007 ◽  
Vol 16 (9) ◽  
pp. 2299-2308 ◽  
Author(s):  
Saeid Saryazdi ◽  
Mohamed Cheriet
Keyword(s):  
Image Processing ◽  
Compact Support ◽  
Scale Space ◽  
Polynomial Kernel ◽  
Space Image

A new approach to scale-space image

1994 ◽  
Vol 15 (4) ◽  
pp. 365-372 ◽  
Author(s):  
Bimal Kumar Ray ◽  
Kumar S. Ray
Keyword(s):  
Scale Space ◽  
New Approach ◽  
Space Image

PROGRAMME FOR EUROPEAN COOPERATING STATES (PECS): PROJECT SPACE IMAGE PROCESSING (SIP)

2020 ◽  
Author(s):  
Jūratė Sužiedelytė Visockienė ◽  
Eglė Tumelienė ◽  
Ignas Daugėla ◽  
Jūratė Kučienė
Keyword(s):  
Image Processing ◽  
Space Image

AXIOMATIC DERIVATION OF IMAGE PROCESSING MODELS

1994 ◽  
Vol 04 (04) ◽  
pp. 467-475 ◽  
Author(s):  
PIERRE-LOUIS LIONS
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Nonlinear Models ◽  
Nonlinear Partial Differential Equations ◽  
Scale Space ◽  
Scale Analysis ◽  
Multi Scale ◽  
Analysis Scale ◽  
Evolution Type ◽  
Multi Scale Analysis

We briefly review the derivation due to Alvarez, Guichard, Morel and the author of mathematical models in Image Processing. We deduce from classical axions in Computer Vision some nonlinear partial differential equations of evolution type that correspond to general multi-scale analysis (scale-space). We also obtain specific nonlinear models that satisfy additional invariances which are relevant for the analysis of images.

Space Image Processing

2018 ◽  
Author(s):  
Julio Sanchez ◽  
Maria P. Canton ◽  
William Perrizo
Keyword(s):  
Image Processing ◽  
Space Image

Hybrid implementation of a real-time Radon-space image-processing system

1993 ◽  
Vol 32 (32) ◽  
pp. 6556 ◽  
Author(s):  
S. Woolven ◽  
V. M. Ristic ◽  
P. Chevrette
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Processing System ◽  
Radon Space ◽  
Space Image

Mathematical Morphology

2002 ◽  
Author(s):  
Hugues Talbot ◽  
Richard Beare
Keyword(s):  
Image Processing ◽  
International Symposium ◽  
Mathematical Morphology ◽  
Research Work ◽  
Region Growing ◽  
Scale Space ◽  
Image Processing And Analysis ◽  
Computer Scientists ◽  
Subject Areas ◽  
Sydney Australia

Mathematical morphology is a powerful methodology for processing and analysing the shape and form of objects in images. The advances in this area of science allow for application in the digital recognition and modeling of faces and other objects by computers. Mathematical Morphology is comprehensive work that provides a broad sampling of the most recent theoretical and practical developments in applications to image processing and analysis. Subject areas covered include: binary morphology, regularised region growing, morphological scale-space techniques, levelings, reconstruction, modeling and simulation, and applications as diverse as medicine, forestry and geology. This fascinating research will be of great interest to engineers, computer scientists, mathematicians and statisticians whose research work is focussed on the theoretical and practical aspects of non-linear image processing and analysis. The content stems from the proceedings of the VIth International Symposium on Mathematical Morphology, held April 3–5, 2002 in Sydney, Australia.

Sign in / Sign up

Export Citation Format

Share Document