Automating Image Processing

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Automating Image Processing

Coursera · Intermediate ·👁️ Computer Vision ·1mo ago
In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore large sets of images and video files. It’s impractical to manually inspect results in large data sets. Automating image processing allows you to do your work more efficiently. At the end of this course, you’ll apply all the skills learned in this specialization to a final project. You’ll take the role of an engineer being asked to monitor traffic on a busy road. You’ll detect cars from a noisy video and analyze the results. You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work. To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Demystifying CNNs: How Convolutional Filters and Max-Pooling Actually Work
Learn how Convolutional Neural Networks (CNNs) use convolutional filters and max-pooling to recognize images
Medium · Data Science
Your "Biometric Age Check" Isn't Verifying Identity — And Defense Lawyers Know It
Biometric age checks don't verify identity, a crucial distinction for developers in computer vision and biometrics
Dev.to AI
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
Learn about MoCapAnything V2, an end-to-end motion capture system for arbitrary skeletons, and its applications in 3D animation
Medium · Machine Learning
How I Built a Perceptual Color Quantization Engine for LEGO Mosaics
Learn how to build a perceptual color quantization engine for LEGO mosaics and improve image conversion
Dev.to · BMBrick
Up next
How Transformers Finally Ate Vision – Isaac Robinson, Roboflow
AI Engineer
Watch →