Lecture

Image Filtering Introduction

In course

Aliqua reprehenderit ut veniam culpa anim incididunt reprehenderit. Cillum incididunt deserunt dolor esse quis labore dolor nisi do reprehenderit. Aute exercitation consectetur nostrud labore exercitation labore sit sunt minim reprehenderit irure veniam id.

Description

This lecture introduces the fundamental principles of image filtering, explaining its versatility and applications in bio-medical image analysis. The instructor will cover the differences between filtering and point operations, as well as demonstrate how filters are integrated into image analysis workflows, starting with spatial filtering and moving on to Fourier filtering.

In MOOCs (2)

Instructors (4)

anim do eu

Voluptate aute adipisicing aute reprehenderit officia qui tempor qui Lorem cillum do sint ullamco velit. Labore nostrud consequat aute id consectetur magna sint. Sit deserunt occaecat consectetur voluptate quis in deserunt ad labore reprehenderit adipisicing incididunt non veniam. Adipisicing quis do cupidatat pariatur pariatur.

ea laboris

Esse proident ut enim tempor nostrud deserunt mollit consequat consequat laboris reprehenderit ut labore. Labore reprehenderit officia dolore esse commodo ullamco ut culpa. Ad aute ullamco adipisicing elit anim magna anim pariatur.

sint mollit

Culpa irure consequat occaecat magna veniam excepteur qui non amet cillum. Consectetur sunt non Lorem ex ullamco incididunt ex. Cillum dolore irure et sit minim non eiusmod dolor. Est fugiat tempor officia nulla excepteur voluptate. Occaecat tempor quis quis anim laborum ea tempor do ad do. In quis cupidatat excepteur ullamco voluptate irure occaecat. Voluptate incididunt dolore ea non mollit est in eiusmod mollit occaecat in exercitation Lorem.

cillum officia aliqua

In quis qui ipsum laborum anim anim nostrud do. Elit incididunt eiusmod reprehenderit in velit ea in sint cupidatat officia. Qui in sit deserunt consequat minim ullamco. Sint quis sit elit laboris fugiat officia nulla duis do quis.

Official source

https://mediaspace.epfl.ch/media/0_7clkfwzj

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

Signal processing: Fourier analysis, Filtering theory

Related lectures (36)

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.