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Lecture
Morphological Operations
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Related lectures (30)
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Segmentation: Theory and Algorithms
Covers the theory and algorithms behind image segmentation, focusing on region identification and evaluation.
From Intensities To Objects: Summary
Summarizes image segmentation, morphological filters, and converting pixels to objects.
Image Processing I: Local Normalization and Morphological Operators
Introduces local normalization and morphological operators for shape analysis in image processing.
Image Processing I: Morphological Filtering and Operators
Explores dilation, erosion, opening, closing, and graylevel morphology in image processing.
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 I: Segmentation and Thresholding
Explores image segmentation, thresholding techniques, texture segmentation, and connected-component labeling in image processing.
Image Processing I: Composition, Pooling, Continuity, and Denoising
Explores composition, pooling, continuity, denoising, and popular CNN architectures for image segmentation in image processing.
Drone Imaging Analysis
Explores drone imaging analysis using Meshroom software for civil engineering applications.
Segmentation Techniques
Explores segmentation techniques in image analysis, including thresholding, clustering, region growing, and machine learning.
Shape from Shading: Recovering 3D Information from 2D Images
Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.
