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A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms

Amin Habibi, Mousa Shamsi
2015 Ciência e Natura  
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]

Peter Sarlin, Samuel Rönnqvist
2013 arXiv   pre-print
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

Deny Lizbeth Hernández-Rabadán
2012 Engineering  
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

Maria Schmidt, Mamoona Arshad, Stephan H. Bernhart, Siras Hakobyan, Arsen Arakelyan, Henry Loeffler-Wirth, Hans Binder
2021 Viruses  
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

Jurgen Bernard, Tatiana von Landesberger, Sebastian Bremm, Tobias Schreck
2010 2010 IEEE Symposium on Visual Analytics Science and Technology  
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

Alireza Bina
2015 Journal of Otolaryngology-ENT Research  
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

Francesco Corona, Michela Mulas, Roberto Baratti, Jose A. Romagnoli
2012 Industrial & Engineering Chemistry Research  
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

Francesco Corona, Michela Mulas, Roberto Baratti, Jose A. Romagnoli
2009 IFAC Proceedings Volumes  
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]

Tobias Schreck
2010 Self-Organizing Maps  
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

Kazuhisa CHIBA, Shinkyu JEONG, Shigeru OBAYASHI
2007 Transactions of the Japan Society for Aeronautical and Space Sciences  
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

Mahmood Golzarian
2011 2011 International Conference on Multimedia Technology  
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

C.-H. Chang, P. Xu, R. Xiao, T. Srikanthan
2005 IEEE Transactions on Neural Networks  
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

Tobias Schreck, Jurgen Bernard, Tatiana Tekusova, Jorn Kohlhammer
2008 2008 IEEE Symposium on Visual Analytics Science and Technology  
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]

Peter Sarlin
2013 arXiv   pre-print
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

Jacob Beal
2009 International Joint Conference on Artificial Intelligence  
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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