Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
The book covers several image analysis and computer vision techniques such as filtering, deconvolution, edge detection, segmentation, etc, with applications to astronomical data.
C code implementation of several math algorithms such as Linear Algebraic Equations,
Interpolation and Extrapolation, Integration of Functions, Evaluation of Functions, Random Num...
William H. Press, Saul A. Teukolsky, William T. Ve...
"This book is a tutorial on image processing. Each chapter explains basic
concepts with words and gures, shows image processing results with photographs,
and implements the...