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alternate case: image segmentation
Spectral clustering
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similarity of each pair of points in the dataset. In application to image segmentation, spectral clustering is known as segmentation-based object categorizationX-ray microtomography (2,970 words) [view diff] no match in snippet view article find links to article
In radiography, X-ray microtomography uses X-rays to create cross-sections of a physical object that can be used to recreate a virtual model (3D model)Ken Keeler (724 words) [view diff] case mismatch in snippet view article find links to article
doctoral thesis was "Map Representations and Optimal Encoding for Image Segmentation". After earning his doctorate, Keeler joined the Performance AnalysisMax-flow min-cut theorem (3,586 words) [view diff] exact match in snippet view article find links to article
project's profit edge instead of the machine's cost edge. In the image segmentation problem, there are n pixels. Each pixel i can be assigned a foregroundMaterialise Mimics (352 words) [view diff] exact match in snippet view article find links to article
Imaging (MRI), Confocal Microscopy, X-ray and Ultrasound, through image segmentation. The ROI, selected in the segmentation process is converted to a 3DRon Kimmel (614 words) [view diff] exact match in snippet view article find links to article
(together with James Sethian), the geodesic active contours algorithm for image segmentation, a geometric framework for image filtering (named Beltrami flow afterLinda Shapiro (499 words) [view diff] exact match in snippet view article find links to article
and Robot Vision.” (1991). Robert M. Haralick, Linda G. Shapiro. "Image segmentation techniques." Computer Vision, Graphics, and Image Processing, VolumeCircular thresholding (364 words) [view diff] exact match in snippet view article find links to article
color image segmentation in Proc. Int. Conf. Document Anal. Recognit., 1995, pp. 673–676. J. Wu, P. Zeng, Y. Zhou, and C. Olivier, A novel color image segmentationAmine Bensaid (861 words) [view diff] exact match in snippet view article find links to article
F.R. (1996). Validity-guided (re)clustering with applications to image segmentation. IEEE Trans. Fuzzy Systems, 4, 112-123. Kourdi, M.E., Bensaid, A.Balanced clustering (300 words) [view diff] exact match in snippet view article find links to article
1109/43.159993. J. Shi and J. Malik (2000). "Normalized cuts and image segmentation". IEEE Transactions on Pattern Analysis and Machine Intelligence.Radiomics (5,585 words) [view diff] no match in snippet view article find links to article
In the field of medicine, radiomics is a method that extracts a large number of features from medical images using data-characterisation algorithms. TheseSong-Chun Zhu (2,653 words) [view diff] exact match in snippet view article find links to article
of nonlinear partial differential equations (PDEs). One class for image segmentation is called region competition. This work connecting PDEs to statisticalPedro Felipe Felzenszwalb (474 words) [view diff] case mismatch in snippet view article find links to article
Huttenlocher, Daniel P. (September 2004). "Efficient Graph Based Image Segmentation". International Journal of Computer Vision. 59 (2): 167–181. doi:10Bir Bhanu (1,287 words) [view diff] case mismatch in snippet view article find links to article
Algorithms for Fingerprint Recognition Genetic Learning for Adaptive Image Segmentation Qualitative Motion Understanding Computational Learning for AdaptiveAlan Yuille (1,148 words) [view diff] exact match in snippet view article find links to article
with LC Chen, G Papandreou, I Kokkinos, K Murphy, Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connectedTexton (155 words) [view diff] case mismatch in snippet view article find links to article
Belongie, T. Leung and J. Shi (2001). "Contour and Texture Analysis for Image Segmentation" (PDF). International Journal of Computer Vision. 43 (1): 7–27. doi:10HSL and HSV (10,785 words) [view diff] exact match in snippet view article find links to article
used in computer vision and image analysis for feature detection or image segmentation. The applications of such tools include object detection, for instanceGranulometry (morphology) (757 words) [view diff] case mismatch in snippet view article
Mathematical Morphology by Jean Serra, ISBN 0-12-637240-3 (1982) Image Segmentation By Local Morphological Granulometries, Dougherty, ER, Kraus, EJ, andRegion Based Convolutional Neural Networks (1,017 words) [view diff] case mismatch in snippet view article find links to article
F.; Huttenlocher, Daniel P. (2004-09-01). "Efficient Graph-Based Image Segmentation". International Journal of Computer Vision. 59 (2): 167–181. doi:10Cederbaum's maximum flow theorem (1,269 words) [view diff] case mismatch in snippet view article find links to article
and System for Image Segmentation," United States Patent US8929636, January 6, 2016 Yim, P.J.: "Method and System for Image Segmentation Using a DirectedChengdu University of Information Technology (933 words) [view diff] exact match in snippet view article find links to article
theory and application, image information visualization modeling, image segmentation, intelligent principle of visual cognition, machine intelligence cognitiveColor structure code (119 words) [view diff] case mismatch in snippet view article find links to article
Code and its Implementation by Lutz Priese and Patrick Sturm Color Image Segmentation Webbased Image Processing, Online application providing live-access3D pose estimation (1,050 words) [view diff] case mismatch in snippet view article find links to article
Jayawardena and Di Yang and Marcus Hutter (2011). "3D Model Assisted Image Segmentation". 2011 International Conference on Digital Image Computing: TechniquesTime-activity curve (1,267 words) [view diff] exact match in snippet view article find links to article
L., JESSE, J. & HUGUES, T. (2001) Unseeded region growing for 3D image segmentation. Selected papers from the Pan-Sydney workshop on Visualisation – VolumeUjjwal Maulik (2,063 words) [view diff] exact match in snippet view article find links to article
"Dense Dilated Deep Multiscale Supervised U-Network for biomedical image segmentation". Computers in Biology and Medicine. 143 (C, 2022): 105274. doi:10MountainsMap (1,210 words) [view diff] exact match in snippet view article find links to article
colorization of scanning electron microscope images based on object-oriented image segmentation. Version 7.4 (January 2017) offers 3D reconstruction from a singleFLTK (1,729 words) [view diff] exact match in snippet view article find links to article
GTK to FLTK, open-source ITK-SNAP, software application for medical image segmentation, open-source Nuke, a digital compositing program. Until version 5Random walk (7,703 words) [view diff] exact match in snippet view article find links to article
science, random walks are used to estimate the size of the Web. In image segmentation, random walks are used to determine the labels (i.e., "object" orGianni Dal Maso (390 words) [view diff] exact match in snippet view article find links to article
G.; Morel, J. M.; Solimini, S. (1992). "A variational method in image segmentation: Existence and approximation results". Acta Mathematica. 168: 89–151Daniel Cremers (408 words) [view diff] exact match in snippet view article find links to article
Institutions Technische Universität München Thesis Statistical shape knowledge in variational image segmentation (2002) Doctoral advisor Christoph SchnörrF-score (2,486 words) [view diff] exact match in snippet view article find links to article
1–5. Aziz Taha, Abdel (2015). "Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool". BMC Medical Imaging. 15 (29): 1–28Machine vision (2,864 words) [view diff] case mismatch in snippet view article find links to article
Prentice-Hall, ISBN 0-13-030796-3 Lauren Barghout. Visual Taxometric approach Image Segmentation using Fuzzy-Spatial Taxon Cut Yields Contextually Relevant RegionsSimpleITK (1,022 words) [view diff] case mismatch in snippet view article find links to article
final_transform, "final_transform.tfm" ) R. Beare, B. C. Lowekamp, Z. Yaniv, “Image Segmentation, Registration and Characterization in R with SimpleITK”, J Stat SoftwSnapfish Lab (401 words) [view diff] exact match in snippet view article find links to article
rectangle. Clear Note extended Note Capture by using a watershed image segmentation algorithm to separate out the foreground writing from the backgroundColony-forming unit (2,566 words) [view diff] exact match in snippet view article find links to article
automatic colony forming unit (CFU)/cell analysis using adaptive image segmentation and easy-to-use post-editing techniques". Scientific Reports. 8 (1):Eric L. Schwartz (2,090 words) [view diff] exact match in snippet view article find links to article
non-local filtering: A fast alternative to anisotropic diffusion for image segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(1):42-48Immunohistochemistry (3,591 words) [view diff] case mismatch in snippet view article find links to article
Bedell BJ (2008-06-03). "Synergistic Tissue Counterstaining and Image Segmentation Techniques for Accurate, Quantitative Immunohistochemistry". JournalColor constancy (3,434 words) [view diff] case mismatch in snippet view article find links to article
system" Barghout, Lauren (2014). "Visual Taxometric Approach to Image Segmentation Using Fuzzy-Spatial Taxon Cut Yields Contextually Relevant Regions"Time-lapse microscopy (1,401 words) [view diff] exact match in snippet view article find links to article
Nathan J.; Wiggins, Paul A. (August 29, 2016). "SuperSegger: robust image segmentation, analysis and lineage tracking of bacterial cells" (PDF). MolecularNishan Canagarajah (863 words) [view diff] exact match in snippet view article find links to article
Leicester in November 2019. Canagarajah's research contributions in image segmentation and texture classification are internationally recognized and hisMotor neuron (2,989 words) [view diff] exact match in snippet view article find links to article
synapses come from neuronal fragments that are unidentified by current image segmentation algorithms and require additional manual segmentation to measure.Scale space (6,616 words) [view diff] exact match in snippet view article find links to article
computer vision, including feature detection, feature classification, image segmentation, image matching, motion estimation, computation of shape cues andBiomedical data science (1,025 words) [view diff] exact match in snippet view article find links to article
Brox, Thomas (2015). "U-net: Convolutional networks for biomedical image segmentation". International Conference on Medical Image Computing and Computer-AssistedFast marching method (719 words) [view diff] exact match in snippet view article find links to article
Fast Marching method by Forcadel et al. [2008] for applications in image segmentation. Python Implementation of the Fast Marching Method See Chapter 8 inImage texture (1,293 words) [view diff] case mismatch in snippet view article find links to article
Man, and Cybernetics, 1973, SMC-3 (6): 610–621 K. Laws "Textured Image Segmentation", Ph.D. Dissertation, University of Southern California, January 19803D scanning (10,085 words) [view diff] exact match in snippet view article find links to article
rendering is usually only used for visualisation of the scanned object. Image segmentation: Where different structures have similar threshold/greyscale valuesOpponent process (3,501 words) [view diff] exact match in snippet view article find links to article
1109/34.977559. Barghout L (2014). "Visual taxometric approach to image segmentation using fuzzy-spatial taxon cut yields contextually relevant regions"Automatic clustering algorithms (1,620 words) [view diff] exact match in snippet view article find links to article
feature space. These approaches are gaining popularity in areas such as image segmentation, customer segmentation, and bioinformatics, where unsupervised insightsJaccard index (3,922 words) [view diff] exact match in snippet view article find links to article
PMID 17790723. Aziz Taha, Abdel (2015). "Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool". BMC Medical Imaging. 15 (29): 1–28Jerry L. Prince (402 words) [view diff] exact match in snippet view article find links to article
L., Chenyang Xu, and Jerry L. Prince. "Current methods in medical image segmentation," Annual review of biomedical engineering 2(1):315-337, 2000. Xu,Diffusion map (2,482 words) [view diff] exact match in snippet view article find links to article
recognition, spectral clustering, low dimensional representation of images, image segmentation, 3D model segmentation, speaker verification and identification, samplingVoronoi diagram (5,504 words) [view diff] exact match in snippet view article find links to article
structures such as the medial axis (which has found applications in image segmentation, optical character recognition, and other computational applications)Graph partition (2,979 words) [view diff] case mismatch in snippet view article find links to article
Knyazev, Andrew V. (2006). Multiscale Spectral Graph Partitioning and Image Segmentation. Workshop on Algorithms for Modern Massive Data Sets Stanford UniversityGaussian filter (2,885 words) [view diff] exact match in snippet view article find links to article
vision is extensive, including applications in object detection, image segmentation, and feature extraction, where reducing noise is crucial for accurateOutline of brain mapping (2,713 words) [view diff] exact match in snippet view article find links to article
manually delineate anatomical regions of interest, and perform automatic image segmentation. Its most frequently used to work with magnetic resonance imagingField-programmable gate array (5,942 words) [view diff] exact match in snippet view article find links to article
of hardware solutions optimized for complex tasks, such as 3D MRI image segmentation, 3D discrete wavelet transform, tomographic image reconstruction,Ron Kikinis (1,168 words) [view diff] exact match in snippet view article find links to article
across the world. The SPL has advanced specific technologies such as image segmentation, data set registration, medical visualization, intraoperative imagingK-means clustering (7,770 words) [view diff] exact match in snippet view article find links to article
distinct color in the image. This technique is particularly useful in image segmentation tasks, where it helps identify and group similar colors together.Body language (7,832 words) [view diff] exact match in snippet view article find links to article
keywords: {Gesture recognition;Feature extraction;Assistive technology;Image segmentation;Algorithm design and analysis;Lighting;Image color analysis;Introduction;LiteratureDNA microarray (5,426 words) [view diff] no match in snippet view article find links to article
include: Image analysis: gridding, spot recognition of the scanned image (segmentation algorithm), removal or marking of poor-quality and low-intensityNeural circuit reconstruction (1,339 words) [view diff] case mismatch in snippet view article find links to article
journal}}: CS1 maint: multiple names: authors list (link) "Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome Reconstruction"Thomas D. Schiano (1,624 words) [view diff] exact match in snippet view article find links to article
PMID 18674734. Wu, HS; Fiel, MI; Schiano, TD; Gil, J (Jul 2008). "Image segmentation of liver fibrosis". J Microsc. 231 (1): 70–80. doi:10.1111/j.1365-2818Wisconsin (16,494 words) [view diff] exact match in snippet view article find links to article
Wisconsin Public Radio. Retrieved August 31, 2024. Birgit Leisen, "Image segmentation: the case of a tourism destination". Journal of services marketingYongjie Jessica Zhang (984 words) [view diff] exact match in snippet view article find links to article
Kangkang; Zhang, Yongjie Jessica; Xu, Guoliang (2017), "CVT-based 3D image segmentation for quality tetrahedral meshing", in Barneva, R.; Brimkov, V.; TavaresAleksandra Mojsilovic (1,726 words) [view diff] exact match in snippet view article find links to article
Rogowitz, B. E. (October 2005). "Adaptive perceptual color-texture image segmentation". IEEE Transactions on Image Processing. 14 (10): 1524–1536. Bibcode:2005ITIPMultimodal distribution (6,390 words) [view diff] exact match in snippet view article find links to article
Chaudhuri, D; Agrawal, A (2010). "Split-and-merge procedure for image segmentation using bimodality detection approach". Defence Science Journal. 60Data annotation (675 words) [view diff] case mismatch in snippet view article find links to article
ISBN 978-3-031-78456-9. Lei, Tao; Nandi, Asoke K. (2022-10-03). Image Segmentation: Principles, Techniques, and Applications. John Wiley & Sons. ISBN 978-1-119-85900-0Kuramoto model (3,997 words) [view diff] exact match in snippet view article find links to article
networks (for cluster analysis, pattern recognition, graph coloring, image segmentation) that are based on the Kuramoto model and phase oscillator. CircleList of free and open-source software packages (5,815 words) [view diff] exact match in snippet view article find links to article
microscopy data ITK – Development framework used for creation of image segmentation and registration programs KNIME – Data analytics, reporting, and integrationClass activation mapping (4,284 words) [view diff] exact match in snippet view article find links to article
object detection, image captioning, visual question answering and image segmentation. The following methods laid the groundwork for the class activationPlant disease epidemiology (2,369 words) [view diff] exact match in snippet view article find links to article
leave, light, and camera effects the analysis.After the pre-process, image segmentation is used to split the image between regions of disease and non-diseaseLi Jun (geoscientist) (351 words) [view diff] case mismatch in snippet view article
Portugal, in 2011. Her dissertation, Discriminative Hyperspectral Image Segmentation, was supervised by José Bioucas-Dias. After postdoctoral researchPólya urn model (3,099 words) [view diff] case mismatch in snippet view article find links to article
340476. hdl:1903/5422. Banerjee, A.; Burlina, P.; Alajaji, F. (1999). "Image Segmentation and Labeling Using the Pólya Urn Model". IEEE Transactions on ImageNeural network (machine learning) (17,613 words) [view diff] exact match in snippet view article
employed in tasks such as image classification, object recognition, and image segmentation. For instance, deep convolutional neural networks (CNNs) have beenActivity recognition (5,157 words) [view diff] exact match in snippet view article find links to article
recognition, fine-grained action localization typically provides per-image segmentation masks delineating the human object and its action category (e.g.,Real-time MRI (3,519 words) [view diff] exact match in snippet view article find links to article
This process as a whole significantly accelerates the MRI process. Image segmentation or identification of lesions can be achieved through machine learningEikonal equation (3,770 words) [view diff] exact match in snippet view article find links to article
computer vision. Geometric optics Continuous shortest path problems Image segmentation Study of the shape for a solid propellant rocket grain Hamilton–Jacobi–BellmanScanIP (3,272 words) [view diff] exact match in snippet view article find links to article
Simpleware ScanIP Medical is intended for use as a software interface and image segmentation system for the transfer of medical imaging information to an outputAndrea Armani (2,400 words) [view diff] exact match in snippet view article find links to article
quantitative viability analysis of 3D tissue cultures using machine learning image segmentation". APL Bioengineering. 8 (1): 016121. doi:10.1063/5.0189222. PMC 10985731List of datasets in computer vision and image processing (7,858 words) [view diff] case mismatch in snippet view article find links to article
Fowlkes, C; Malik, J (May 2011). "Contour Detection and Hierarchical Image Segmentation" (PDF). IEEE Transactions on Pattern Analysis and Machine IntelligenceDeepfake (19,874 words) [view diff] exact match in snippet view article find links to article
hides the inside of the mouth and the teeth. Some solutions include image segmentation during training and in-painting. Temporal coherence. In videos containingApollonian network (4,752 words) [view diff] exact match in snippet view article find links to article
of triangles into three smaller triangles was investigated as an image segmentation technique in computer vision by Elcock, Gargantini & Walsh (1987);Michael Kass (1,556 words) [view diff] exact match in snippet view article find links to article
particular for his use of optimization for physical simulation and image segmentation" ACM Fellow (2017), "for contributions to computer vision and computerTable of metaheuristics (3,878 words) [view diff] case mismatch in snippet view article find links to article
Hanning; He, Maowei (2014). "A Novel Plant Root Foraging Algorithm for Image Segmentation Problems". Mathematical Problems in Engineering. 2014: 1–16. doi:10Asoke K. Nandi (1,045 words) [view diff] case mismatch in snippet view article find links to article
the Cambridge Philosophical Society (1979) T Lei and A K Nandi, "Image Segmentation: Principles, Techniques, and Applications", Published by John WileyPhyCV (1,403 words) [view diff] exact match in snippet view article find links to article
Conference on Big Data, Cloud Computing, and Data Science (BCD), 2021 Image segmentation of activated sludge phase contrast images using phase stretch transformList of datasets for machine-learning research (15,010 words) [view diff] exact match in snippet view article find links to article
PyTorch models. Python scripts. Image classification, object detection, image segmentation, and natural language processing. 2024 A. Goodarzi, R. Kochnev, WHarris affine region detector (7,037 words) [view diff] exact match in snippet view article find links to article
stable under image blurring. Because the detector does not rely on image segmentation or region boundaries, the repeatability and matching scores remainDeep learning in photoacoustic imaging (4,275 words) [view diff] case mismatch in snippet view article find links to article
Brox, Thomas (2015), "U-Net: Convolutional Networks for Biomedical Image Segmentation", Medical Image Computing and Computer-Assisted Intervention – MICCAISand smuggling in Southeast Asia (3,359 words) [view diff] case mismatch in snippet view article find links to article
Monitor Illegal Sand Mining using Contour Mapping and Color based Image Segmentation". International Journal of Image Processing. 9 (3): 175–191. Yue-ChoongNear sets (9,542 words) [view diff] exact match in snippet view article find links to article
demonstrate practical applications of near set theory to the problems of image segmentation evaluation and image correspondence. It was motivated by a need forMachine learning in earth sciences (4,531 words) [view diff] exact match in snippet view article find links to article
(2021-07-08). "A deep convolutional neural network for rock fracture image segmentation". Earth Science Informatics. 14 (4): 1937–1951. Bibcode:2021EScInAmir Amini (academic) (1,698 words) [view diff] exact match in snippet view article
Other research activities have included development of methods for image segmentation, determination of motion and tissue strain from US echocardiographyWelding inspection (10,247 words) [view diff] exact match in snippet view article find links to article
YuMing (December 2021). "Real-time recognition of arc weld pool using image segmentation network". Journal of Manufacturing Processes. 72: 159–167. doi:10Jose Luis Mendoza-Cortes (17,959 words) [view diff] exact match in snippet view article find links to article
transfer, materials discovery, quantum-state tomography, medical image segmentation, and game-level generation, illustrating how to tailor hyper-parameters