ABOUT MATLAB PROJECT
Matlab is a high-performance language for technical computing. it integrates computation, visualization, and programming in an easy-to-use environment in which troubles and answers are expressed in familiar mathematical notation. Application improvement, such as graphical person interface building IEEE projects provide 2012, 2013, 2014, 2015, 2016, 2017, 2018 these decades projects are available. Matlab projects provided to all m.e, ece, msc, bsc, bca, mtech, mba students.An interactive system whose simple statistics element is an array that does not require dimensioning.
Matlab features its own family of application-precise solutions referred to as toolboxes. very crucial to most users of Matlab, toolboxes permit you to learn and follow specialized era. toolboxes are comprehensive collections of Matlab capabilities (m-documents) that expand the Matlab surroundings to remedy unique lessons of issues. regions in which toolboxes are to be had include signal processing, management systems, neural networks, fuzzy logic, wavelets, simulation, and many others. the Matlab system is a library that allows you to jot down c and Fortran applications that engage with Matlab. it includes facilities for calling exercises from Matlab (dynamic linking), calling Matlab as a computational engine, and for studying and writing mat-files.
IEEE MATLAB PROJECT LIST 2017-2018
|1||A smartphone image processing application for plant disease diagnosis|
|2||Contrast Enhancement Based on Intrinsic Image Decomposition|
|3||Features Classification Forest: A Novel Development that is Adaptable to Robust Blind Watermarking Techniques|
|4||Comments on Steganography Using Reversible Texture Synthesis|
|5||Image Forgery Localization via Integrating Tampering Possibility Maps|
|7||Deep Representation-Based Feature Extraction and Recovering for Finger-Vein Verification|
|8||A Memristive Multilayer Cellular Neural Network With Applications to Image Processing|
|9||A survey on brain tumor detection using image processing techniques|
|10||Retinal Disease Screening Through Local Binary Patterns|