Lectures related to Color in Depth: Projections, Reslicing Summary

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

Color in Depth: Projections and Reslicing Introduction

Introduces color models and methods to reduce dataset size for display.

Orthogonal Projections: Symmetry and Matrices

Explores orthogonal projections, symmetry of matrices, and their applications.

Explores geometric transformations in R2 and R3, including linear transformations, projections, matrices, and trace properties.

Descriptive Geometry

Introduces Descriptive Geometry concepts, including conservation laws and projection methods.

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.

Orthogonal Projection: Vector Decomposition

Explains orthogonal projection and vector decomposition with examples in particle trajectory analysis.

Image Processing in Frequency Space

Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.

Orthogonality and Projection

Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Projection Orthogonale: Properties and Methods

Explores the properties of orthogonal projection and the Monge method for projecting points in space.

Orthogonal Bases and Projection

Introduces orthogonal bases, projection onto subspaces, and the Gram-Schmidt process in linear algebra.

Image Processing Techniques

Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.

Projections and Applications

Explores projections in R³, matrix properties, and trace concepts with practical examples.

Axonometry: Image of Points and True Magnitude of Segments

Explains axonometry, focusing on image of points and true magnitude of segments in 3D space.

Image Processing in Fiji

Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.

Subspaces, Spectra, and Projections

Explores subspaces, spectra, and projections in linear algebra, including symmetric matrices and orthogonal projections.

True Sizes: Folding Method in Descriptive Geometry

Explains the folding method in descriptive geometry to determine true sizes of segments and distances between points.

Lens Design: Implementing Filters and Lens Functionality

Explores lens design, high-pass filters, and image line detection using MATLAB.

Orthogonal Projection: Concepts and Applications

Covers the concept of orthogonal projection and its applications in vector analysis.

Image Processing I: Composition, Pooling, Continuity, and Denoising

Explores composition, pooling, continuity, denoising, and popular CNN architectures for image segmentation in image processing.