Lectures related to Adobe RGB color space

Segmentation: Theory and Algorithms

Covers the theory and algorithms behind image segmentation, focusing on region identification and evaluation.

Image Segmentation: K-means and Color Spaces

Explores image segmentation using K-means clustering and discusses the impact of different color spaces.

High Dynamic Range Imaging: Algorithms and Techniques

Explores High Dynamic Range imaging, explaining how cameras stack multiple exposed pictures to create HDR images.

Adobe settings: Color Management and PDF Optimization

Explores advanced Adobe color settings and PDF optimization techniques.

Image Acquisition

Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.

LED, Light and Color

Covers the energy and radiation of LEDs, transitions in energy levels, and color synthesis.

Color & Color Models

Delves into various color spaces, Color Deconvolution, and analyzing Whole Slide Images.

K-means Clustering: Lloyd's Algorithm and RGB Space

Explains K-means clustering with Lloyd's algorithm and RGB space for color segmentation.

Opponency Revisited

Explores the concept of opponency in color vision, covering trichromatic color vision, opponent colors, and receptive fields.

LED Matrix Control with FPGA

Covers the control of a 32x32 RGB LED matrix using a FPGA board.

Untitled

K-means Clustering: Initialization and Image Segmentation

Explores k-means clustering, emphasizing initialization and image segmentation.

Greyscale, Color and Special Images

Explores Greyscale, color, and special image types, bit depths, RGB creation, and file formats.

Notation and key concepts

Covers the notation and key concepts related to digital images and 2D signal representations.

Hydroacoustics for Hydroelectric Installations

Explores hydroacoustics for hydroelectric installations, emphasizing characteristics methods and sound feature analysis.

Untitled

Image Processing: Basics and Techniques

Introduces image processing basics, covering vector vs matrix images, RGB color system, grayscale, and image manipulation libraries.

Perceptual Robotics: Integrating Vision and Action

Covers the integration of visual perception and robotic actions in embodied AI.

Augmented Reality Sandbox

Covers the Augmented Reality Sandbox, exploring depth-sensing equipment, dichotomies, Python scripting for 3D interactions, and hardware performance measurement methods.