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A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms
2015
Ciência e Natura
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First, this image is converted from RGB to color space HSV. Then Breast shape is extracted by ACM algorithm. Finally, the image has segmented using Color Reduction Based algorithm. ...
Segmentation of an image into its components plays an important role in most of the image processing applications. ...
calculated thus ) , , max( ) , , min( ) , , max( B G R B G R B G R S HSV ) , , max( B G R V HSV
Breast shape extraction using ACM algorithm Model-based approaches towards image interpretation ...
doi:10.5902/2179460x20799
fatcat:mqvyhzc7lrfo7jf5ijnorog52i
Cluster coloring of the Self-Organizing Map: An information visualization perspective
[article]
2013
arXiv
pre-print
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From the viewpoint of information visualization, this paper provides a general, yet simple, solution to projection-based coloring of the SOM that reveals structures. ...
The regular grid shape of the Self-Organizing Map (SOM), while being a virtue for linking visualizations to it, restricts representation of cluster structures. ...
ACKNOWLEDGMENT The authors are grateful to Hanna Rönnqvist for insightful comments and discussions, and the Academy of Finland (grant no. 127592) for financial support. ...
arXiv:1306.3860v1
fatcat:sd2vsrf4zbg6hijtidsprkn6se
Method for Segmenting Tomato Plants in Uncontrolled Environments
2012
Engineering
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During the training stage, a Self-Organizing Map (SOM) neural network is applied to create different color groups from a set of images containing vegetation, acquired from a tomato greenhouse. ...
in the elimination of the background and the preservation of important color information. ...
Figure 2 . 2 (a) Original image; (b)-(h) Color groups generated with the SOM.
Figure 3 . 3 Examples of segmented images using the proposed method and CIVE. ...
doi:10.4236/eng.2012.410076
fatcat:6zmq2g47o5g2jpqvibci2zj3ju
The Evolving Faces of the SARS-CoV-2 Genome
2021
Viruses
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SOM portrayal provides a novel option for 'bioinformatics surveillance' of the pandemic, with strong odds regarding visualization, intuitive perception and 'personalization' of the mutational patterns ...
The genetic landscape obtained visualizes the relevant mutations in a lineage-specific fashion and provides developmental paths in genetic state space from early lineages towards the variants of concern ...
Particularly, the non-VOC area forms a sort of source from where the viral genomes developed towards different directions, namely towards PAT D/VOI epsilon and towards PATs A, B, C/variants alpha, gamma ...
doi:10.3390/v13091764
pmid:34578345
pmcid:PMC8472651
fatcat:fpu45eosobcbbjyrx4a6p63y3m
Cluster correspondence views for enhanced analysis of SOM displays
2010
2010 IEEE Symposium on Visual Analytics Science and Technology
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We propose a visual cluster analysis system that allows to validate the output of the SOM algorithm by comparison with alternative clustering methods. ...
The Self-Organizing Map (SOM) algorithm [4] is a popular and widely used cluster algorithm. Its constraint to organize clusters on a grid structure makes it very amenable to visualization. ...
ACKNOWLEDGEMENTS This work was partially supported by the German Research Foundation (DFG) within the project Visual Feature Space Analysis, as part of the Priority Program on Scalable Visual Analytics ...
doi:10.1109/vast.2010.5651676
dblp:conf/ieeevast/BernardLBS10
fatcat:amthtzo4djefdhneqjsouxhjhe
False Type An in Secretory Otitis Media (SOM): Some Case Reports
2015
Journal of Otolaryngology-ENT Research
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Secretory Otitis Media (SOM) appears as various types in tympanometry test including Type C1, Type C2, Type B, Type As. ...
In this study, we will deal with case report of the patients with SOM, in which Type An is seen before and after treatment. ...
Case Report 3 The patient was a 6 years old child suffering from bilateral SOM due to adenoid hypertrophy. In both ears, tympanometry was Type B and acoustic reflex was D.N.T. ...
doi:10.15406/joentr.2015.02.00043
fatcat:itncoonfkbcftgmo2wmgaxlemy
Data-Derived Analysis and Inference for an Industrial Deethanizer
2012
Industrial & Engineering Chemistry Research
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Emphasis is given to the modeling of the data obtained with standard paradigms like the Self-Organizing Map (SOM) and the Multi-Layer Perceptron (MLP). ...
The SOM and the MLP are classic methods for nonlinear dimensionality reduction and nonlinear function estimation widely adopted in process systems engineering; here, the effectiveness of these data derived ...
(a) (b) (c) In Figure 3 (a), distances are depicted with dark blue colors shading toward dark red as the proximity between the prototypes decreases. ...
doi:10.1021/ie202854b
fatcat:gfskdybvkfhl3jtqy4gup47g24
Data derived analysis and inference for an industrial deethanizer
2009
IFAC Proceedings Volumes
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Emphasis is given to the modeling of the data obtained with standard paradigms like the Self-Organizing Map (SOM) and the Multi-Layer Perceptron (MLP). ...
The SOM and the MLP are classic methods for nonlinear dimensionality reduction and nonlinear function estimation widely adopted in process systems engineering; here, the effectiveness of these data derived ...
(a) (b) (c) In Figure 3 (a), distances are depicted with dark blue colors shading toward dark red as the proximity between the prototypes decreases. ...
doi:10.3182/20090712-4-tr-2008.00111
fatcat:rcrk3zctpzem5npbaj5hhyp4ai
Visual-Interactive Analysis With Self-Organizing Maps - Advances and Research Challenges
[chapter]
2010
Self-Organizing Maps
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While early work defined basic concepts for data representation and visual mappings for SOM-based analysis, recent work contributed advanced visual representations of the output of the SOM algorithm, and ...
In this article, we review a selection of classic and more recent approaches to SOM-based visual analysis. ...
Figures 1 (a+b) are courtesy of Andreas Rauber. Figure 3 (a) is courtesy of Kai Uwe Barthel. ...
doi:10.5772/9171
fatcat:f5u7iybdxjho7gvk2bj5hsh46e
Knowledge Discovery in Multidisciplinary Design Space for Regional-Jet Wings Using Data Mining
2007
Transactions of the Japan Society for Aeronautical and Space Sciences
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All solutions evaluated during the evolution were analyzed for the influence of design variables using a self-organizing map (SOM) and a functional analysis of variance (ANOVA) to extract key features ...
As SOM and ANOVA compensate for respective disadvantages, the design knowledge could be obtained more clearly by combinating them. ...
a) SOM colored by PARSEC xup (b) SOM colored by PARSEC xlo (c) SOM colored by PARSEC zxx loFig. 10. ...
doi:10.2322/tjsass.50.181
fatcat:blpjpy3fyng7hl5vxteprjmuhm
Adaptive segmentation of plant images, an integration of color space features and self-organizing maps
2011
2011 International Conference on Multimedia Technology
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Nine color features of three color models of normalized Red Green Blue (RGB), Hue Saturation and Intensity (HSI) and L*a*b* made up the feature map. ...
In this study, we used Kohonen's self organizing map (SOM) algorithm for segmentation of plant images using image series of two complexity levels; images taken in a controlled environment of plant facility ...
We used the color features of normalized r, g, b, L*a*b* and Hue, Saturation and Intensity to create the feature map. ...
doi:10.1109/icmt.2011.6001833
fatcat:npoqqs3fn5aehd2chukyjatdga
New Adaptive Color Quantization Method Based on Self-Organizing Maps
2005
IEEE Transactions on Neural Networks
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Index Terms-Color image processing, color quantization (CQ), neural network, self-organizing maps (SOMs). ...
To minimize the contouring artifacts introduced by the reduction of colors, a new competitive learning (CL) based scheme called the frequency sensitive self-organizing maps (FS-SOMs) is proposed to optimize ...
B. MSB-Biased FS-SOM When SOM is used for CQ, the color palette is formed from the final weights of the neurons. ...
doi:10.1109/tnn.2004.836543
pmid:15732403
fatcat:vlb6mxfiancbzdx7bal4fn3cb4
Visual cluster analysis of trajectory data with interactive Kohonen Maps
2008
2008 IEEE Symposium on Visual Analytics Science and Technology
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Considering SOM-based analysis of trajectory data, we propose a comprehensive visual-interactive monitoring and control framework extending the basic SOM algorithm. ...
However, the unsupervised nature of the algorithm may be disadvantageous in certain applications. ...
ACKNOWLEDGEMENTS We thank the anonymous reviewers for provision of detailed comments that were helpful in improving this work. ...
doi:10.1109/vast.2008.4677350
dblp:conf/ieeevast/SchreckBTK08
fatcat:3r77tfkairbercxdmd654hhy5e
Automated and Weighted Self-Organizing Time Maps
[article]
2013
arXiv
pre-print
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The implication of an automated SOTM is not only a data-driven parametrization of the SOTM, but also the feature of adjusting the training to the characteristics of the data at each time step. ...
to measure the evolution of firm-level credit risks. ...
Here, importance might refer to a number of notions, such as the certainty or trustworthiness of a data point or the relative relevance of an instance. ...
arXiv:1311.5763v1
fatcat:2p3eepgxnfgvpoibmjmxeduq5u
Self-Managing Associative Memory for Dynamic Acquisition of Expertise in High-Level Domains
2009
International Joint Conference on Artificial Intelligence
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We use a mixture of analysis and empirical studies to characterize the behavior of SOMs for high-level associative memory, finding that new high-resolution collections of models develop quickly. ...
High-resolution areas of the SOM decay rapidly unless actively refreshed, but in a large SOM, the ratio between growth rate and decay rate may be high enough to support both fast learning and long-term ...
colors, configured using 1 million samples of RGB colors weighted so that approximately half are reddish. ...
dblp:conf/ijcai/Beal09
fatcat:354mzzhr5vgm7dyvyjopq3m6zq
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