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Lecture
Image Processing: Basics and Techniques
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Related lectures (31)
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Image Processing: Smoothing and Filtering
Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Image Processing: Practical
Covers practical image processing using Fiji software, emphasizing data quality importance.
Digital Image Correlation: Practical
Focuses on the practical application of Digital Image Correlation for civil engineers, covering measuring displacement fields and computing strain fields.
Memory Management & Crash Programs
Covers memory management for engineers, focusing on crash programs related to memory access errors.
Image Processing Fundamentals
Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
High Dynamic Range Imaging: Algorithms and Techniques
Explores High Dynamic Range imaging, explaining how cameras stack multiple exposed pictures to create HDR images.
Reconstructing Color Images: Techniques and Applications
Covers techniques for reconstructing color images using optical detection and artificial intelligence to enhance image quality and reduce noise.
Illustrator Image Preparation
Covers the preparation of a bitmap image in Photoshop for integration into a vector board in Illustrator.
Computer Vision Basics: Image Processing and Feature Detection
Covers the basics of computer vision, focusing on image processing techniques and feature detection.
Image Processing Fundamentals
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
