Imaging analyzing and implementing of images
What will students learn in this course?
Matlab is a language for technical computing.
It helps to analyze and design the systems and products. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Matlab has divided into various toolboxes to understand and easy implementation of concepts. In this course, we are briefly discussing the Image Processing toolbox. You will get interactive and graphical representations of various techniques to perform image segmentation, image enhancement, noise reduction, geometric transformations, and image registration using deep learning and traditional image processing techniques.
We discussed toolbox support for processing 2D, 3D, and arbitrarily large images.
Who are the target students?
The Engineering Students as well as professionals who are interested in Image-based product development.
Any person who has an interest in technology can make use of it to explore new ideas.
In this introductory Matlab course for Image processing toolbox, one can understand a comprehensive set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development.
For the sake of better insight this course module is divided into two-part :
Matlab 01 &
In Matlab 01, Theoretically explain the different image processing functions with their practical usage. The course is brief in nature but can provide all relevant exposure.
In Matlab 02, Practically as well as theoretically taken the tutorials to get acquainted students for a comprehensive understanding of the Image processing toolbox features.
01.MATLAB: Let’s Begin Image Processing Toolbox
02.Import, Export, and Conversion
03.Display and Exploration
04.Geometric Transformation and Image Registration
05.Image Filtering and Enhancement
06.Image Segmentation and Analysis
07.Deep Learning for Image Processing
08.3-D Volumetric Image Processing
01.Image Processing Toolbox: Getting Started With tutorials
02.Detect and Measure Circular Objects in an Image
03.Correct Nonuniform Illumination and Analyze Foreground Objects
04. Find Vegetation in a Multispectral Image
05.Enhancing Multispectral Color Composite Images
06.Enhance Color Separation Using Decorrelation Stretching