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Lecture
From Intensities to Objects Introduction
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Related lectures (18)
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Morphological Operations
Covers basic to advanced morphological operations for image analysis workflows.
Image Processing I: Local Normalization and Morphological Operators
Introduces local normalization and morphological operators for shape analysis in image processing.
From Intensities To Objects: Summary
Summarizes image segmentation, morphological filters, and converting pixels to objects.
Image Processing in Fiji
Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.
ABBA Workflow: Image Processing and Analysis
Covers the ABBA workflow for processing and analyzing brain images using QuPath and OMERO.
Image Processing Fundamentals
Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
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.
Texture Analysis: Statistical and Structural Approaches
Discusses texture analysis in images, focusing on statistical and structural properties, segmentation techniques, and machine learning applications for texture classification.
Image Processing in Python: Manipulation and Convolution Techniques
Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.
Image Processing: Enhancement and Analysis
Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.
