Skip Nav Destination
Close Modal
Search Results for
image segmentation
Update search
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
NARROW
Format
Topics
Book Series
Date
Availability
1-20 of 256 Search Results for
image segmentation
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
1
Sort by
Image
Published: 01 December 2004
Fig. 40 The Marr-Hildreth segmentation method. (a) Original image. (b) Segmentation for σ = 5. (c) Segmentation for σ = 0.8. Notice the detection of subtle variations in the background and inside the particles. (d) The image in (c) after postprocessing. Original image, courtesy of Vito Smolej
More
Image
Published: 01 December 2004
Fig. 37 The Otsu method. (a) Original image. (b) Otsu segmentation. (c) Minimum point segmentation. Original image, courtesy of Vito Smolej, Carl Zeiss Vision
More
Image
Published: 01 December 2004
Fig. 39 Adaptive segmentation of the same image as Fig. 38 (a) Adaptive Otsu segmentation with 5 × 5 subimages, without interpolation. (b) Adaptive Otsu segmentation with 5 × 5 subimages, with interpolation
More
Series: ASM Handbook
Volume: 9
Publisher: ASM International
Published: 01 December 2004
DOI: 10.31399/asm.hb.v09.a0003757
EISBN: 978-1-62708-177-1
... and output of the image to a printer. The methods used to enhance the digital image and to extract quantitative information are also described. Different types of image segmentation, namely, adaptive segmentation and contour-based segmentation, are reviewed. The article also presents case studies...
Abstract
This article reviews the main theoretical and practical aspects of sequence normally followed in digital image-acquisition, processing, analysis, and output for material characterization. It discusses the main methods of digital imaging, image processing, and analysis, as applied to microscopy of materials. The article describes the basic concepts of sampling and resolution and quantization of light microscopy, scanning electron microscopy, and transmission electron microscopy. It discusses the acquisition of a digital image that accurately represents the sample under observation and output of the image to a printer. The methods used to enhance the digital image and to extract quantitative information are also described. Different types of image segmentation, namely, adaptive segmentation and contour-based segmentation, are reviewed. The article also presents case studies on the application of image processing and analysis to materials characterization.
Image
Published: 01 December 2004
Fig. 50 Shape-based postprocessing. (a) Original composite image. (b) Segmented and postprocessed binary image. (c) Regular fibers with CSF P < 0.85. (d) Irregular fibers with CSF C max ≤ 0.85. (e) Regular fibers with equivalent convex diameter ≥26 μm. Fibers touching the edges were
More
Image
Published: 01 December 2004
Fig. 9 Image calibration. Spacing between line segments of the micrometer reticle is 0.01 mm. Consequently, the segment length of 420 pixels corresponds with the distance of 0.1 mm.
More
Image
in Quantitative Characterization and Representation of Global Microstructural Geometry
> Metallography and Microstructures
Published: 01 December 2004
Fig. 32 Surface-rendered images of small volume segments from large-volume high-resolution 3-D microstructures reconstructed from large number (∼100) of montage serial sections. (a) 3-D image depicting tungsten grains in a liquid phase sintered W-Ni-Fe-alloy. Source: Ref 35 , Ref 95 . (b
More
Image
Published: 01 January 2006
Fig. 18 Image showing corrosion of copper segments of a sculpture due to offgassing and contact with cellulose nitrate segments. MOMA New York. See the article “Corrosion of Metal Artifacts and Works of Art in Museum and Collection Environments” in this Volume.
More
Series: ASM Handbook
Volume: 23A
Publisher: ASM International
Published: 12 September 2022
DOI: 10.31399/asm.hb.v23A.a0006896
EISBN: 978-1-62708-392-8
... and Considerations To create 3D-printed, patient-specific anatomical models at the POC, there are several steps required ( Fig. 3 ), including: Identification of a medical/surgical need Image acquisition Image segmentation Computer-aided design Build preparation 3D printing...
Abstract
Bridging the gap between education and medical practice, centralized hospital-based 3D printing, or what is termed point-of-care (POC) manufacturing, has been rapidly growing in the United States as well as internationally. This article provides insights into the considerations and the current workflow of creating 3D-printed anatomical models at the POC. Case studies are introduced to show the complex range of anatomical models that can be produced while also exploring how patient care benefits. It describes the advanced form of communication in medicine. The advantages as well as pitfalls of using the patient-specific 3D-printed models at the POC are addressed, demonstrating the fundamental knowledge needed to create 3D-printed anatomical models through POC manufacturing.
Image
Published: 01 December 2004
Fig. 38 Limitations of global thresholding. (a) Image with uneven illumination. (b) Histogram and tentative threshold. (c) Incorrect segmentation. (d) Background corrected image. (e) Bimodal histogram and optimal threshold. (f) Correct segmentation
More
Image
Published: 15 December 2019
spiral advanced in the opposite direction during physical vapor transport growth. (b)–(d) Glide of pinned BPD segment leading to activation of double-ended Frank-Read sources under elevated temperature after growth. (e)–(h) Series of recorded 11 2 ¯ 0 transmission x-ray topography images
More
Image
Published: 01 December 2004
Fig. 29 Simulated images of a single pore or particle. (a) Idealized. (b) Simulated, more realistic image. Gray-level distribution functions are plotted along the line segments shown in each image.
More
Image
in Corrosion of Metal Artifacts and Works of Art in Museum and Collection Environments
> Corrosion: Environments and Industries
Published: 01 January 2006
Fig. 4 Torso (1924 to 1926) by Antoine Pevsner constructed in plastic and copper. (a) Full image showing corrosion of the copper segments of the sculpture due to gas emission from and contact with cellulose nitrate segments. (b) A close-up detail of the sculpture. The Museum of Modern Art
More
Image
in Quantitative Characterization and Representation of Global Microstructural Geometry
> Metallography and Microstructures
Published: 01 December 2004
Fig. 1 Areal analysis. (a) Gray scale microstructural image of a metal-matrix composite depicting SiC particles in an aluminum alloy matrix. (b) Binary image of microstructure in (a) depicting excellent segmentation of the SiC particles as the dark phase. The area fraction of SiC particles
More
Image
Published: 01 December 2004
Fig. 51 Discrimination of intragrain and grain-boundary precipitates. (a) Original image (SEM, BSE, 512 × 480). (b) After median filter to reduce noise and adaptive segmentation to reveal the precipitates. (c) After dilation, scrap, and logical AND to eliminate “lonely” precipitates. (d
More
Image
in Three-Dimensional Bioprinting of Naturally Derived Protein-Based Biopolymers
> Additive Manufacturing in Biomedical Applications
Published: 12 September 2022
, and ribbon representation. (c) Ball-and-stick image of a segment of collagen triple helix, showing the ladder of highlighted hydrogen bonds. (d) Stagger of the three strands in the segment in (c). Reprinted from Ref 62 with permission from Elsevier
More
Image
Published: 01 June 2024
Fig. 18 Reconstructed image, showing the area in the red box in Fig. 17 , from surface-height measurements obtained from an atomic force microscope (AFM) scan using the Gwyddion software package ( http://gwyddion.net/ ). In this case, oblique lighting was used to aid in visualization
More
Image
Published: 15 June 2020
at 1330 °C (2425 °F). (c) SEM image of sample after the debinding process. (d) Profile of a transducer. PF-CPE, printing-focused concave-shaped piezoelectric element; SMA, subminiature version A. (e) Image of three-dimensional-segment annular array with 64 pillars that were irregularly distributed. Source
More
Image
Published: 12 September 2022
, Materialise). Top left image shows the patient’s skull with the maxillary reconstruction plan (yellow and green fibular pieces). Top right image illustrates an axial slice from the patient’s computed tomography scan with outlines of the reconstruction fibular pieces overlaid (yellow and green). Bottom image
More
Series: ASM Handbook
Volume: 24
Publisher: ASM International
Published: 15 June 2020
DOI: 10.31399/asm.hb.v24.a0006568
EISBN: 978-1-62708-290-7
... the volumetric dataset ( Fig. 11 ). Once the stack of 2D images has been reconstructed, visualization can be accomplished with packages such as ImageJ ( Ref 37 ), Volume Graphics’ VGSTUDIO MAX ( Ref 54 ), and Thermo Fisher Scientific’s Avizo ( Ref 55 ), which have toolkits for segmentation of the powder...
Abstract
Powder-bed additive manufacturing (AM) processes are some of the most commonly used techniques, necessitating the accurate measurement of powder flowability properties. This article discusses some powder flow tests that occur in powder-bed AM machines. These include the Hall/Carney flow test, bulk/tap density, rheometer, and the revolving or rotating drum technique. The three categories of powder properties that are available from rheometer experiments are discussed: bulk, dynamic flow, and shear properties. The article also describes the basic principles and applications of micro-X-ray computed tomography in studying powder porosity characteristics nondestructively.
1
