교육과정 모듈
Course Overview
Familiarize yourself with the course.
Working with Image Data
Import, visualize, and extract information from different image types and image data types.
강의 내용:
- Extracting Metadata from Image Files
- Representing Different Image Types
- Converting Image Data Types
- Working with Binary Images
Preprocessing
Preprocess images to improve algorithms: enhancing contrast, noise removal techniques, block processing, and quality metrics.
Color Segmentation
Use color spaces, regions of interest, and the Color Thresholder app to segment images based on color.
강의 내용:
- The Color Thresholder App
- Segment Based on a Region of Interest
Texture Segmentation
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.
강의 내용:
- Growing Segmentations with Active Contours
- Growing Segmentations with the Fast Marching Method
- Using the Image Segmenter App
Finding and Analyzing Objects
Separate overlapping objects in your segmentation. Label objects and measure their properties, such as area and perimeter.
강의 내용:
- Working with Connected Components of a Mask
- Separating Overlapping Objects with Watershed Segmentation
- Measuring Shape Properties
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.
강의 내용:
- Using the Image Batch Processor App
- Batch Processing with Image Datastores
Aligning Images with Image Registration
Register images using phase correlation, control points, and feature matching.
강의 내용:
- Applying Geometric Transformations
- Estimating a Geometric Transformation
Conclusion
Learn next steps and give feedback on the course.
