Computer Vision and Image Analysis - Online Course

Description

In this course, you will learn :

• To segment a basic dataset, use traditional Image Analysis techniques such as Edge Detection, Watershed and Distance Transformation, and K-means Clustering.
• Using the OpenCV library, implement traditional image analysis algorithms.
• Contrast traditional and Deep-Learning object classification methods.
• Using the Microsoft Cognitive Toolkit, apply Microsoft ResNet, a deep Convolutional Neural Network (CNN), to object classification.

Syllabus :

• Current image segmentation techniques
• Image features and classical segmentation techniques
• Object classification and detection
• Deep image segmentation