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