Image Processing Onramp

Learn the basics of practical image processing techniques in MATLAB®. Modify and extract information from images to develop an algorithm.

Course modules

Introduction

Familiarize yourself with image processing concepts and the course.

• Course Overview

Images in MATLAB

Import, display, and manipulate color and grayscale images.

• Get Images into MATLAB

• Grayscale and Color Images

• Contrast Adjustment

• Work with Images Interactively

Image Segmentation

Create binary images by thresholding pixel intensity values.

• Course Example - Photos of Receipts

• What is Segmentation?

• Threshold Intensity Values

• Work with Binary Images

Preprocessing and Postprocessing Techniques

Improve image segmentation by using common preprocessing and postprocessing techniques.

• Improve Segmentation

• Filter Noise

• Background Subtraction

• Binary Morphology

Classification and Batch Processing

Develop a metric to classify an image, and apply that metric to a set of image files.

• Develop a Metric for Receipt Detection

• Batch Processing with Image Datastores

• Course Example - Extract Images Containing Receipts

Conclusion

See next steps and give feedback on the course.

• Additional Resources

• Survey