Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Image Processing I: Local Normalization and Morphological Operators
Graph Chatbot
Related lectures (28)
Previous
Page 1 of 3
Next
Texture Analysis: Statistical and Structural Approaches
Discusses texture analysis in images, focusing on statistical and structural properties, segmentation techniques, and machine learning applications for texture classification.
Deep Learning: Edge Detection and Neural Networks
Discusses edge detection techniques and the evolution of deep learning in neural networks.
Image Processing I
Covers fundamental concepts in image processing, including preprocessing techniques and matching methods.
Image Processing I
Covers the basics of image processing and its applications in various fields.
Image Classification: Decision Trees & Random Forests
Explores image classification using decision trees and random forests to reduce variance and improve model robustness.
Morphological Operations
Covers basic to advanced morphological operations for image analysis workflows.
Image Processing I: Correlation Measures and Matched Filtering
Explores correlation measures, matched filtering, and feature extraction in image processing.
Image Processing I: Morphological Filtering and Operators
Explores dilation, erosion, opening, closing, and graylevel morphology in image processing.
Shape from Shading: Recovering 3D Information from 2D Images
Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.
Principal Component Analysis: Eigenfaces
Covers the application of Principal Component Analysis in facial recognition using a famous faces dataset.