Overview
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- 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.
