- Introduction: Familiarize yourself with image processing concepts and the course.
- Working with Images in MATLAB: Import, display, and manipulate color and grayscale images.
- Segmenting an Image: Create binary images by thresholding intensity values.
- Pre- and Postprocessing Techniques: Improve image segmentation using common pre- and postprocessing techniques.
- Classification and Batch Processing: Develop a metric to classify an image, and apply that metric to a set of image files.
- Conclusion: Learn next steps and give feedback on the course.
Overview
Syllabus
- Course Overview
- Getting Images into MATLAB
- Grayscale and Color Images
- Contrast Adjustment
- Working with Images Interactively
- Course Example - Photos of Receipts
- What is Segmentation
- Thresholding Intensity Values
- Working with Binary Images
- Improving Segmentation
- Filtering Noise
- Background Subtraction
- Binary Morphology
- Developing a Metric for Receipt Detection
- Batch Processing with Image Datastores
- Course Example - Extract Images Containing Receipts
- Additional Resources
- Survey
Taught by
Erin Byrne
