Multidimensional Image Modelling

ISCAMI 1 ◽  
1991 ◽  
pp. 99-104
Author(s):  
F. Beltrame ◽  
P. Morasso ◽  
C. Ruggiero ◽  
G. Sandini ◽  
V. Tagliasco
Keyword(s):  
Image Modelling

Diffraction by striated muscle fibres: Application to image modelling

Bioimaging ◽  
1993 ◽  
Vol 1 (4) ◽  
pp. 214-227 ◽  
Author(s):  
J T Sheridan ◽  
C J R Sheppard
Keyword(s):  
Striated Muscle ◽  
Muscle Fibres ◽  
Image Modelling

Radar Image Modelling and Detection Using Neural Networks

1997 ◽  
pp. 711-721
Author(s):  
G. Hennessey ◽  
H. Leung ◽  
A. Drosopoulos
Keyword(s):  
Neural Networks ◽  
Radar Image ◽  
Image Modelling

Non-linear Bayesian Image Modelling

2000 ◽  
pp. 3-17 ◽  
Author(s):  
Christopher M. Bishop ◽  
John M. Winn
Keyword(s):  
Non Linear ◽  
Image Modelling

PDE-Based Image Processing

2012 ◽  
pp. 49-89
Author(s):  
Rajeev Srivastava
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Shape From Shading ◽  
Surface Geometry ◽  
Partial Differential ◽  
Basic Concepts ◽  
Processing Techniques ◽  
Image Modelling

This chapter describes the basic concepts of partial differential equations (PDEs) based image modelling and their applications to image restoration. The general basic concepts of partial differential equation (PDE)-based image modelling and processing techniques are discussed for image restoration problems. These techniques can also be used in the design and development of efficient tools for various image processing and vision related tasks such as restoration, enhancement, segmentation, registration, inpainting, shape from shading, 3D reconstruction of objects from multiple views, and many more. As a case study, the topic in consideration is oriented towards image restoration using PDEs formalism since image restoration is considered to be an important pre-processing task for 3D surface geometry, reconstruction, and many other applications. An image may be subjected to various types of noises during its acquisition leading to degraded quality of the image, and hence, the noise must be reduced. The noise may be additive or multiplicative in nature. Here, the PDE-based models for removal of both types of noises are discussed. As examples, some PDE-based schemes have been implemented and their comparative study with other existing techniques has also been presented.

An Integrated Earth Image Modelling for Safe Exploration Drilling

2020 ◽  
Author(s):  
Sergey Urievich Shtun ◽  
Andrey Germanovich Alekseev ◽  
Evgeniy Vitalievich Kireev ◽  
Mikhail Aleksandrovich Sibilyov ◽  
Maria Urievna Topolyan ◽  
...  
Keyword(s):  
Exploration Drilling ◽  
Image Modelling

An Integrated Earth Image Modelling for Safe Exploration Drilling (Russian)

2020 ◽  
Author(s):  
Sergey Urievich Shtun ◽  
Andrey Germanovich Alekseev ◽  
Evgeniy Vitalievich Kireev ◽  
Mikhail Aleksandrovich Sibilyov ◽  
Maria Urievna Topolyan ◽  
...  
Keyword(s):  
Exploration Drilling ◽  
Image Modelling
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