Image Processing Software(Test) - List of Manufacturers, Suppliers, Companies and Products

Image Processing Software Product List

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Recommended model for the high-performance 3D image processing software 'Dragonfly'

Impactful visualization and advanced analysis are achievable! Suitable for the fields of biological, medical, and materials research.

"Dragonfly" is a 3D visualization platform developed by Object Research Systems (Canada) that supports multi-modality and multi-scale. With a user-friendly GUI, it enables impactful visualization and advanced analysis. It is suitable for the fields of biological, medical, and materials research. 【Features】 ■ Developed by Object Research Systems (Canada) ■ Supports multi-modality and multi-scale ■ User-friendly GUI ■ Enables impactful visualization and advanced analysis *For more details, please refer to the related links or feel free to contact us.

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Geometric transformation using machine learning 'KRM' and arbitrary zoom 'SRSZ'

By combining phase shift using machine learning and aperture correction using machine learning, it can be restored without resolution degradation.

"Keep Resolution Mapping (Super Resolution Geometric Transformation)" is a unique technology that performs geometric transformations without reducing resolution using machine learning. "Super Resolution Stepless Zoom" is a stepless electronic zoom utilizing machine learning.

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Demosaicing using machine learning "AIRD"

No more zipper noise! Super-resolution RAW development technology that removes optical LPF and diffraction blur.

"AIRD (Artificial Intelligence Retina Development, formerly Phase Shift Development)" is a super-resolution RAW development technology using machine learning. It is well-suited for RAW development for Optical Learning. It eliminates zipper noise and removes blur caused by optical LPF and diffraction. Additionally, it prevents the occurrence of color artifacts, improves the resolution of red, blue, green, and monochrome, and reduces jaggies. 【Features】 ■ Well-suited for RAW development for Optical Learning ■ Removes blur caused by optical LPF and diffraction ■ Reduces sensor noise ■ Suppresses the emphasis on demosaicing degradation *For more details, please refer to the PDF document or feel free to contact us.

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[Data] Detection of Concrete Cracks

Detection of Concrete Cracks Using Machine Learning and RAW Ultra-High-Definition Images

This document discusses the detection of concrete cracks using machine learning and ultra-high-definition images from RAW data. By processing RAW data output from commercially available digital cameras through techniques such as restoration and synthesis using machine learning, we can enhance the detection accuracy of concrete cracks by producing high-definition images that are undistorted, similar to human vision. [Contents (excerpt)] ■ Introduction ■ Image Processing Using Machine Learning ■ Super Resolution Stepless Zoom ■ Keep Resolution Mapping ■ Optical Learning *For more details, please refer to the PDF document or feel free to contact us.

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Recommended model for the high-performance 3D image processing software "Dragonfly".

A multi-scale compatible 3D visualization platform! Here is an introduction to the recommended operating models.

"Dragonfly" is an advanced 3D image processing software for biological, medical, and materials research. With a user-friendly GUI, it enables impactful visualization and advanced analysis. It is a multi-modality, multi-scale 3D visualization platform developed by Object Research Systems (Canada). At Applied, we offer the recommended models: 'Be-Clia Type-T11IS19 / Be-Clia Type-T11IS20 / Be-Clia Type-Z11IS21'. 【Dragonfly Features】 ■ Impactful visualization and advanced analysis made possible with a sophisticated GUI ■ Capable of processing various image data from general electron beams, X-rays, optical microscopes, etc. ■ Provision of a function expansion and sharing platform (Infinite Toolbox) using Python ■ Accurate technical support from experienced staff ■ M@xnet collaboration model *For more details, please refer to the related links or feel free to contact us.

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