Image Processing: Practical

Related lectures (32)

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Covers the practical analysis of X-ray tomography images using Fiji software.

Introduces image processing with ImageJ and Fiji, covering installation, plugins, and tools for analyzing and measuring images.

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

Explores conduction in quantum dot and discrete energy levels for nanocomputing.

Explores managing defects, testing strategies, and challenges in software quality, with real-world examples and case studies.

Covers the basics of LabVIEW, including its importance, history, functions, and tools available.

Covers memory management for engineers, focusing on crash programs related to memory access errors.

Covers the transition to circular economy and sustainable value chains in manufacturing.

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Discusses data quality evaluation, reliability, representativeness, and process contribution in Life Cycle Assessment.