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IMAGE PROCESSING and RECOGNITION
Introduction

Mathematical Tools
Fourier Transform
Finite F.T.
Fast F.T.
Cosine Transform
Kalman filter
Hartley Tr.

Imaging
Imaging
Image types
Subsampling
RGB and HSL

Geometry
Camera model
Homography
Projective geom.

Image Processing
Hausdorff dist.
Derivatives
Straightness
Edges
Corners
Morphology
Genetic
Annealing

Image Transforms
Medial Axis
Equalization
Contrast
Hough
Symmetry

Statistical methods
Statistics
Errors
Rule of 30
Entropy
Information Theory
Hidden Markov Model
Principal Components
Fractal

Wavelets
Pyramids
Multiresolution
Wavelet theorem
Wavelets
Discrete W.T.
Subsampling

Pattern recognition
Classification
Feature selection
City block
KLT
Mahalanobis
K-NN
Separability


Neural models
M.L.P.
Hopfield
S.O.M.
S.V.M.

Image Analysis
Registration
Thresholding
Segmentation
Region growing
Texture analysis
Optical flow