- Course Overview: Familiarize yourself with the course.
- Working with Image Data: Import, visualize, and extract information from different image types and image data types.
- Preprocessing: Preprocess images to improve algorithms: enhancing contrast, noise removal techniques, block processing, and quality metrics.
- Segmenting Based on Color: Use color spaces, regions of interest, and the Color Thresholder app to segment images based on color.
- Segmenting Based on Texture: Use range, entropy, and standard deviation filters to separate regions based on texture.
- Improving Segmentations: Refine your segmentation with morphological operations. Automate segmentation from a seed mask using iterative techniques.
- Finding and Analyzing Objects: Separate overlapping objects in your segmentation. Label objects and measure their properties, such as area and perimeter.
- Detecting Edges and Shapes: Detect edges of objects and identify lines and circles in an image.
- Batch Processing: Process large numbers of files using the Image Batch Processor app and image datastores.
- Aligning Images with Image Registration: Register images using phase correlation, control points, and feature matching.
- Conclusion: Learn next steps and give feedback on the course.
Overview
Syllabus
- Course Overview
- Introduction
- Extracting Metadata from Image Files
- Representing Different Image Types
- Converting Image Data Types
- Working with Binary Images
- Summary
- Introduction
- Adjusting Contrast
- Block Processing
- Filtering Noise
- Quality Metrics
- Background Subtraction
- Summary
- Introduction
- Thresholding by Color
- Representing Images in Different Color Spaces
- Using the Color Thresholder App
- Segmenting Based on a Region of Interest
- Summary
- Introduction
- Texture Filters
- Summary
- Introduction
- Cleaning Binary Masks
- Growing Segmentations with Active Contours
- Growing Segmentations with the Fast Marching Method
- Using the Image Segmenter App
- Summary
- Introduction
- Working with Connected Components of a Mask
- Separating Overlapping Objects with Watershed Segmentation
- Measuring Shape Properties
- Summary
- Introduction
- Detecting Edges
- Detecting Circles
- Detecting Lines
- Summary
- Introduction
- Using the Image Batch Processor App
- Batch Processing with Image Datastores
- Summary
- Introduction
- Applying Geometric Transformations
- Estimating a Geometric Transformation
- Mapping Control Points
- Matching Image Features
- Summary
- Additional Resources
- Survey
Taught by
K. Grace Kennedy
