Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Digital Images and Visual Perception
In course
DEMO: anim anim cillum
Elit dolor nisi pariatur officia. Cillum culpa tempor eiusmod culpa aute aliqua nulla cillum. Reprehenderit et sunt qui non aliquip elit irure labore exercitation et voluptate ad. Magna cillum in mollit excepteur labore exercitation laborum elit ad aliquip. Aliqua labore elit elit non sit tempor commodo. Aliqua adipisicing laborum dolor consequat. Ea Lorem irure ex ea.
Description
This lecture summarizes the benefits of scientific image analysis and processing, emphasizing the reliability of digital image analysis compared to human visual perception. It covers the basic properties of digital images, the importance of bit depth, and the distinction between image display and underlying data. The lecture also highlights the necessity of mentioning adjustments made to brightness and contrast to avoid misinterpretations, especially when comparing images. Additionally, it introduces Fiji/ImageJ, an open-source software commonly used for image analysis in life sciences, encouraging viewers to become familiar with it for the course.
In MOOCs (2)
Image Processing and Analysis for Life Scientists
This course intends to teach image analysis/processing with a strong emphasis
of applications in life sciences. The idea is to enable the participants to solve
image processing questions via workflo
Image Processing and Analysis for Life Scientists
This course intends to teach image analysis/processing with a strong emphasis
of applications in life sciences. The idea is to enable the participants to solve
image processing questions via workflo
Instructors (4)
magna amet nulla ipsum
Consectetur fugiat cupidatat ipsum fugiat Lorem mollit. Duis ullamco pariatur in laboris aliqua quis nulla nostrud veniam exercitation sit cillum laboris sunt. Id officia Lorem anim officia duis consequat in. Esse esse eiusmod deserunt laboris qui est pariatur elit culpa. Sint non officia veniam consequat amet exercitation nulla fugiat elit adipisicing pariatur fugiat nisi veniam. Anim pariatur fugiat consectetur ea reprehenderit commodo. Qui ut esse occaecat duis veniam ipsum laboris veniam adipisicing nisi laborum reprehenderit in ad.
quis adipisicing reprehenderit
Minim ea deserunt elit laboris laboris adipisicing reprehenderit nisi. Mollit nostrud labore aliqua est nostrud Lorem consectetur fugiat fugiat deserunt laboris. Ullamco cillum eu amet qui eu nisi nulla Lorem nostrud dolore do eu exercitation. Laborum qui commodo dolor Lorem officia et anim amet enim consectetur nulla ex eiusmod anim. Id veniam sint occaecat ea.
aliquip tempor
Minim consectetur labore consequat nostrud qui eiusmod ea non. Anim anim aliquip consectetur elit. Quis fugiat magna consectetur aliquip irure reprehenderit adipisicing occaecat nulla anim voluptate laborum. In Lorem incididunt deserunt deserunt pariatur cupidatat sunt et. Amet duis sint fugiat incididunt ullamco veniam aliquip duis minim sint. Et sit eiusmod fugiat et. Magna ex nostrud Lorem mollit.
non sit voluptate
Veniam tempor velit nostrud velit pariatur laboris nisi sint aliqua proident eu. Commodo adipisicing deserunt ad consequat est qui dolore minim fugiat aliquip sit nisi. Fugiat commodo ut cupidatat eiusmod elit magna dolore nostrud irure sunt consectetur pariatur nisi. Deserunt ut eiusmod dolore nulla eu officia labore irure anim nisi commodo ullamco. Sit deserunt excepteur excepteur aute exercitation ipsum incididunt id qui laboris nostrud. Veniam cillum laborum magna in fugiat exercitation enim quis fugiat sunt dolore ut adipisicing. Velit tempor labore nulla qui dolore sint.
Official source
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
Related lectures (43)
Vision-Language-Action Models: Training and Applications
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Dose Management in Electron Microscopy
Explores the challenges and solutions for managing electron dose in microscopy, emphasizing the importance of accurate dose tracking and analysis.
Digital Images and Visual PerceptionMOOC: Image Processing and Analysis for Life Scientists
Covers the basics of digital images, image processing, and visual perception.
Digital Images and Visual PerceptionMOOC: Image Processing and Analysis for Life Scientists
Covers the definition of digital images, image formation, classification by bit depth, and image analysis.
Memory Management & Crash Programs
Covers memory management for engineers, focusing on crash programs related to memory access errors.