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
Proper Feature Size: Image Analysis
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Image Processing I: Edge Detection and Texture Analysis
Covers edge detection, texture analysis, Canny's algorithm, filterbanks, and segmentation techniques.
Small-angle X-ray Scattering: Techniques and Applications
Explores Small-angle X-ray Scattering principles, applications, and intensity calculations in various scientific fields.
Detectors: Types and Operation
Explores various microscopy detectors, their structures, and applications in digital imaging systems, emphasizing low-light imaging and CMOS technology advantages.
Image Processing: Smoothing and Filtering
Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Image Processing Basics
Covers the basics of image processing, focusing on writing a program to process images.
Optical Detection: Correlated Double Sampling in 5T APS
Covers the design and operation of a 5T RPS pixel for correlated double sampling in optical detection systems.
Deep Learning: Edge Detection and Neural Networks
Discusses edge detection techniques and the evolution of deep learning in neural networks.
Image Processing: Neighborhood Averaging & Gaussian Smoothing
Explores neighborhood averaging, Gaussian smoothing, median filtering, contrast enhancement, and edge detection in image processing.
Image Scaling and Math
Covers image scaling, interpolation, artifacts, pixel sizes, and bit depth.
Image Processing I: Correlation Measures and Matched Filtering
Explores correlation measures, matched filtering, and feature extraction in image processing.