## Biomedical Image Processing Training in Chennai

scientific photo processing requires a complete surrounding for records to get the right of entry to, analysis, processing, visualization, and algorithm improvement. in this webinar, you will discover ways to use Matlab and the photo processing toolbox to remedy issues with the usage of ct, MRI, and fluorescein angiogram photos.
This package incorporates a collection of lessons and capabilities, which permit to simply work with clinical pictures and meshes. it presents an intuitive and obvious manner of handling spacing, beginning, photo orientation, and many others.
This route will introduce members to the primary strategies, algorithms, and principles in video and photo processing for biological and medical applications. lectures might be complemented with sports in Matlab to offer members practical revel in processing photographs.

### MATLAB SYLLABUS

#### MATLAB Basics:

•    Introduction to Matlab
•    The MATLAB environment
•    Basic computer programming
•    Variables and constants, simple calculations
•    Formulas and functions
•    MATLAB toolboxes
•    Matlab as {best} calculator
•    Standard Matlab windows

#### Matrices and vector:

•    Matrix and linear algebra review
•    Vectors and matrices in MATLAB
•    Matrix operations and functions in MATLAB

#### Computer Programming :

•    Algorithms and structures
•    MATLAB scripts and functions (m-files)
•    Control structures (if…then, loops)

#### MATLAB Programming:

•    File handling
•    Personalized functions
•    Toolbox structure
•    Toolbox structure

#### Operations with variables :

•    Checking existence
•    Clearing
•    Operations

#### Arrays:

•    Columns and rows: creation
•    Size & length
•    Multiplication
•    division, power
•    Operations

#### Writing script files:

•    Logical variables
•    Operators
•    Flow control
•    Loop operators

#### Writing functions:

•    Input/output arguments
•    Function visibility, path.
•    Example: Matlab startup

•    2D plots
•    3Dplots
•    Figures
•    subplots

#### File Input-Output:

•    Matlab files
•    Text files
•    Binary files
•    Mixed text-binary files

#### Communication with external devices:

•    Serial port
•    Parallel port
•    Sound card
•    Video input Matlab

#### Polynomial fit:

•    1D and 2D fits
•    Data windowing
•    Error bounds