Concept

Image analysis

Related lectures (31)

Image Classification: Decision Trees & Random Forests

Explores image classification using decision trees and random forests to reduce variance and improve model robustness.

Covers fostering advanced imaging through interdisciplinary collaborations and high-impact developments at EPFL.

Results Tables: Managing and Saving Data

Covers setting measurements, managing results, using macro language functions, getting statistics, and saving results as CSV files.

Image Analysis Workflow: Batch Processing

Covers regions of interest, unbiased experiments, results storage, and batch image analysis.

Regions of Interest: Manipulation and Applications

Explores the significance of ROIs in measurements and how to manipulate them.

Drone Imaging Analysis

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Analyze Particles

Covers the process of analyzing particles in images using Fiji software.

Intensity and Localization Analysis

Discusses analyzing intensity and localization in images with fluorescent channels for protein expression changes.

Digital Images and Visual Perception

Covers the definition of digital images, image formation, classification by bit depth, and image analysis.

Image Analysis for Life Scientists

Covers the evolution of microscopy and the importance of computer-based image analysis.

Environmental Image Analysis

Explores Valérie's project on automating land area statistics using deep learning algorithms and aerial images.

Concept-Based Image Systems

Explores concept-based, named entity-based, and perspective connections-based image systems, emphasizing the analysis of graphics and visual relationships between images.

Detecting Objects: Independent Channels

Emphasizes the need for independent channels when detecting objects in images.

A Localization Tale: Practical Course by BIOP

Covers practical aspects of using Fiji for everyday tasks in biological imaging.

Image processing: Basics and 3D Reconstruction

Explores image processing in 2D and 3D, covering ideal imaging conditions, histogram analysis, tools, 3D reconstruction steps, and visualization.

Quantitative Imaging for Civil Engineers

Introduces quantitative imaging concepts for civil engineers, covering resolution, optics, image quality, and 3D measurements.

Document Segmentation: dhSegment

Explores the development and improvements of dhSegment, an open-source document segmentation package using PyTorch.

Visual Intelligence: Projects and Challenges

Explores projects and challenges in visual intelligence, including hands-on learning and analysis of vision methods.

Biomedical Image Analysis

Discusses a new technique for implanting devices in the ear to reduce risks and operation time.

Particle Characterization: Methods and Applications

Discusses methods for characterizing particle shapes and sizes, focusing on measurement challenges and the importance of standardized protocols.