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Image processing #1

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Image processing #1

고급건설재료학

서울대 건설환경공학부 문주혁 교수

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Contexts

• #1. Introduction and Examples

• #2. Basics of Matlab, Image Processing Toolbox

• #3. Segmentation, Edge detection, Transformation

• Matlab code (Image processing toolbox)

• Project introduction

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Introduction and Examples

RGB color cube

White (255,255,255) Black (0,0,0)

CMYK Color Space

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Introduction and Examples

Pixel

Resolution

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Introduction and Examples

Pixel info but,

no resolution info

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Introduction and Examples

https://www.youtube.com/watch?v=MIM4r59y4bQ

A stack of 2D images 3D reconstruction Voxel

Resolution

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Introduction and Examples

3D reconstruction Sliced 2D image

Image segmentation

(binary image) Further computation

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Introduction and Examples

Pixel = 2240 by 2240

Resolution = 24.15 um/pixel

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Introduction and Examples

Fig. 4. Two-component polyurethane healing after crack formation visualized by means of X-ray computed microtomography, after Van Tittelboom et al. (2011).

(Dider S., RILEM Technical Letter 2018)

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Introduction and Examples

Self-sealing crack phenomenon in Ancient Roman Concrete

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Introduction and Examples

3D Porosity of an aggregate in Roman concrete

3D Phase quantification

Reaction rim around certain component

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Introduction and Examples

Synchrotron-based Nano-Tomography Resolution: 20 nm/pixel

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Introduction and Examples

3D water permeability simulation on inter-connected structural segment

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Introduction and Examples

Random walk calculation

Tortuosity can be measured as the ratio of the self- diffusion of a walker in free space to the self-diffusion of a walker in the porous medium

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Introduction and Examples

SPC HgS Hg Sulfur polymer concrete

Mercury Stabilization

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Introduction and Examples

Pixel = 1000 by 1000 Resolution = 5 nm/pixel

Silica fume is too small to be accurately measured by laser diffraction!

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Introduction and Examples

Superabsorbent polymer (SAP) particle size distribution

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Introduction and Examples

Image processing combined with SEM analysis

(Scrivener, Snellings, Lothenbach, CRC Press 2017)

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Introduction and Examples

(Scrivener, Snellings, Lothenbach, CRC Press 2017) Image processing combined with SEM analysis

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Introduction and Examples

(전남대학교 이방연 교수) (Kang and Cha 2018)

More Advanced Image processing

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Introduction and Examples

(Class note from B. Militzer UC Berkeley, 2012) Edge detection

Other applications

참조

관련 문서

Postoperative Postoperative Postoperative Postoperative Magnetic Magnetic Magnetic Magnetic resonance resonance resonance image resonance image image image shows

Filter >

신호의 일부 성분을 제거하거나 일부 특성을 변 경하기 위해 설계된 시스템의 한 종류. 유한 임펄스

Dism /Capture-Image /ImageFile:C:\system-partition.wim /CaptureDir:D:\ /Name:"system partition". Dism /Apply-Image /ImageFile:C:\system-partition.wim

The thickness of the maxillary sinus lateral wall according to tooth site and measurement level was measured by using image-processing software and its histologic

Taubin, “The QBIC Project: Querying Image by Content using Color, Texture and Shape,” Proceedings of SPIE Storage and Retrieval for Image and Video Databases, pp.. Pala,

• Longest processing time (LPT) – a rule that sequences jobs to be processed on a resource in descending order of their processing times.. •

Shear and elongational viscosity Normal