Lesson 3: Image Processing, Segmentation, and Measurement
Lesson Overview
Develop practical capability in image processing, segmentation, and measurement as part of the MATLAB for Signal, Image, and Data Analysis learning path.
Topics Covered
Image import, display, conversion, and contrast adjustment
Noise filtering and enhancement
Thresholding, morphology, and segmentation
Geometric transformations and registration concepts
Regions of interest and object measurements
Image Processing Toolbox apps
Practical Activity
Build a guided MATLAB exercise covering image import, display, conversion, and contrast adjustment.
Apply noise filtering and enhancement to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving image processing toolbox apps.
Key Takeaways
Explain and apply image import, display, conversion, and contrast adjustment.
Use thresholding, morphology, and segmentation in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.
