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 :

• 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

• MATLAB: Let’s begin image processing toolbox
• Import, export, and conversion
• Display and exploration
• Geometric transformation and image registration
• Image filtering and enhancement
• Image segmentation and analysis
• Deep learning for image processing
• 3-D volumetric image processing
• Code generation
• GPU computing

Matlab 02

• Image processing toolbox: Getting started with tutorials
• Detect and measure circular objects in an image
• Correct nonuniform illumination and analyze foreground objects
• Find vegetation in a multispectral image
• Enhancing multispectral color composite images
• Enhance color separation using decorrelation stretching