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Related lectures (30)

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Semantic Modelling: Tabular Data and RDF

Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.

Semantic Web: Knowledge Representation

Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.

Edge Detection: Basics and Techniques

Introduces the basics of edge detection, including measuring contrast, gradient images, Fourier interpretation, Gaussian functions, Canny edge detector, and industrial applications.

Image Processing: Smoothing and Filtering

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Computer Vision: Image Formation and Transformation

Provides an overview of image formation and transformation principles in computer vision.

Image Processing Techniques

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

Image Processing: Enhancement and Analysis

Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Edge and Contour

Covers edge and contour detection in images, including gradient-based methods, Laplacian operator, and more complex methods.

Visual Intelligence: Machines and Minds

Explores the history and techniques of computer vision, covering image formation, transformation, dynamic perspectives, and 3D estimation cues.

Directional Image Analysis and Processing

Delves into the mathematical foundations and importance of directional cues in image processing, exploring computational challenges and selectivity to orientation.