Finalizing the tracking workflow and earning the course certificate.

Training an ACF detector and refining results with thresholding and NMS.

Preparing ground truth data for training object detectors.

Detecting and extracting distinctive patterns (features) from images.

Finalizing the receipt classification algorithm using batch processing and earning the completion certificate.

An introduction to computer vision and setting up video readers in MATLAB.

Techniques to improve image segmentation including noise filtering, background subtraction, and morphological operations.

Learn how to separate text from background in receipt images using thresholding and binary image processing.

Introduction to image processing workflow in MATLAB, including importing, displaying, and adjusting contrast of images.

Programmatically measuring earthquake timestamps and concluding the Signal Onramp course.