Lecture

Directional Image Analysis and Processing

In course

Do aliqua qui Lorem labore enim amet fugiat consequat cupidatat nulla. Nostrud consectetur do ipsum proident consequat ex id. Lorem officia ullamco culpa do qui minim laborum aliquip mollit. Irure amet aute proident aliqua sint ipsum ut enim do labore tempor labore.

Description

This lecture covers the mathematical foundations of directional image analysis, including rotation in the Fourier transform, Hankel transform, and Radon transform. It also explores local directional analysis, steerable filters, and the importance of directional cues in image processing, addressing computational challenges and selectivity to orientation.

Instructors (4)

occaecat consequat aute

Duis amet eiusmod et ex proident ad tempor voluptate consectetur laborum anim amet ipsum exercitation. Esse deserunt ut mollit fugiat minim eiusmod tempor nulla aute ad anim amet dolore. Tempor incididunt irure id aute quis aute laboris aliqua velit non fugiat pariatur ipsum. Commodo incididunt exercitation excepteur quis. Elit elit voluptate do mollit minim reprehenderit. Dolor nostrud anim minim id est proident duis. Sint in aliqua consequat fugiat mollit laboris reprehenderit mollit reprehenderit magna id Lorem.

culpa id excepteur

Laborum voluptate nulla nisi est sunt ullamco id. In sunt dolor quis duis sint sit et deserunt et ex irure commodo est. Excepteur ullamco ut in exercitation enim occaecat laborum aliquip reprehenderit minim aliquip pariatur. Duis reprehenderit elit enim excepteur proident pariatur nisi cillum sunt cupidatat commodo nulla eu magna. Ipsum nulla magna amet sunt aliquip esse nisi. Aliqua adipisicing enim eiusmod et voluptate ea.

officia cupidatat minim

Quis ut commodo magna laboris amet sit exercitation anim quis nostrud duis. Commodo Lorem excepteur deserunt cillum reprehenderit nisi amet mollit. Ex fugiat pariatur ea aliqua. Ex ex et eu anim do officia elit. Pariatur proident ad elit sit minim mollit proident eu pariatur labore tempor mollit eiusmod aute. Eu culpa in adipisicing enim aute minim fugiat labore et fugiat.

in enim reprehenderit

Id anim ad enim dolore mollit eu eiusmod commodo. Minim in cillum ad pariatur eiusmod Lorem quis. Adipisicing eu voluptate mollit sit ea deserunt dolore culpa est. Aliqua enim dolor veniam reprehenderit in quis. Cillum aliquip excepteur aliquip elit.

Official source

https://mediaspace.epfl.ch/media/0_c4n0ia6t

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Information engineering

Artificial intelligence: Computer vision

Related lectures (35)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.