Course subtitle

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.

Course description

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 &

Matlab 02.

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.

Matlab 01

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

09.Code Generation

10.GPU Computing

Matlab 02

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

Course Curriculum

Matlab 1
Matlab Beginners tutorial FREE 00:10:00
chapter 01 FREE 00:14:00
chapter 02 FREE 00:16:00
chapter 03 FREE 00:09:00
chapter 04 FREE 00:08:00
chapter 05 00:06:00
chapter 06 00:15:00
chapter 07 00:03:00
chapter 08 00:08:00
chapter 09 00:04:00
chapter 10 00:18:00
Matlab 2
chapter 01(matlab02) 00:11:00
chapter 02(matlab02) 00:18:00
chapter 03(matlab02) 00:17:00
chapter 04(matlab02) 00:20:00
chapter 05(matlab02) 00:13:00
chapter 06(matlab02) 00:07:00

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