MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python.

MATLAB has structure data types. Since all variables in MATLAB are arrays, a more adequate name is "structure array", where each element of the array has the same field names. In addition, MATLAB supports dynamic field names (field look-ups by name, field manipulations, etc.). Unfortunately, MATLAB JIT does not support MATLAB structures, therefore just a simple bundling of various variables into a structure will come at a cost.

MATLAB's support for object-oriented programming includes classes, inheritance, virtual dispatch, packages, pass-by-value semantics, and pass-by-reference semantics. However, the syntax and calling conventions are significantly different from other languages. MATLAB has value classes and reference classes, depending on whether the class has handle as a super-class (for reference classes) or not (for value classes).

Topics of Thesis

• Image With Filters
• Image Cryptography
• Stegnanograhy
• Image as Password
• Watermarking
• Image for Device Automation
• Image Compression and Decompression
• Image to video convector
• Image Easy RESIZER
• Recognize Based
• Quality Analyzer
• Content Based Retriever
• CBIR (Content based Image Retrieval )
• Image Noising De- Noising and Edge Detection

Key Features

• High-level language for numerical computation, visualization, and application development.
• Interactive environment for iterative exploration, design, and problem solving.
• Mathematical functions for linear algebra, statistics, Fourier analysis, filtering, optimization, numerical integration, and solving ordinary differential equations.
• Built-in graphics for visualizing data and tools for creating custom plots.
• Development tools for improving code quality and maintainability and maximizing performance.
• Tools for building applications with custom graphical interfaces/
• Functions for integrating MATLAB based algorithms with external applications and languages such as C, Java, .NET, and Microsoft Excel.