Results 131 to 140 of about 25,142 (174)

Contour Detection Based on Self-Organizing Feature Clustering

Third International Conference on Natural Computation (ICNC 2007), 2007
The real vision system has a well-developed ability to detect multiple contours and recognize various objects in images. Previous simulation models to perform this process often employ image segmentation or contour integration algorithms. In this paper a new model is proposed to separate individual object contours from the background by the feature ...
Yu Ma, Xiaodong Gu, Yuanyuan Wang
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Contour clustering: A field-data-driven approach for documenting and analysing prototypical f0 contours

Journal of the International Phonetic Association, 2021
ABSTRACTThis paper reports an automatic data-driven analysis for describing prototypical intonation patterns, particularly suitable for initial stages of prosodic research and language description. The approach has several advantages over traditional ways to investigate intonation, such as the applicability to spontaneous speech, language- and domain ...
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Model-based clustering with non-elliptically contoured distributions

Statistics and Computing, 2008
The majority of the existing literature on model-based clustering deals with symmetric components. In some cases, especially when dealing with skewed subpopulations, the estimate of the number of groups can be misleading; if symmetric components are assumed we need more than one component to describe an asymmetric group.
Dimitris Karlis, Anais Santourian
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Segmentation of color image contour using fuzzy cluster analysis

The 3rd International Conference on Information Sciences and Interaction Sciences, 2010
Segmentation of edge contour is an important part of color image processing, however the existence of gradual change of color and edge scatters will badly affect the result of image processing. A classification algorithm based on fuzzy cluster analysis is put forward in this article for segmentation of edge contour. On the basis of the color aberration
Ding Caihong, Jiang Lin, Du Fenghai
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Automatic Clustering and Prediction of Female Breast Contours

2017
The horizontal shape of breast is the key of shape categorization of female subjects. In this paper, Elliptic Fourier Analysis and two machine learning approaches (K-Means++ and Support Vector Machine) were used for the clustering and prediction of female breast. Female subjects were scanned by RGB-Depth camera (Microsoft Kinect).
Haoyang Xie, Duan Li, Zhicai Yu, Yueqi Zhong, Tayyab Naveed   +4 more
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Contour Representation by Clustering Curvatures of the 3D Objects

Solid State Phenomena, 2009
The purpose of this work is to segment large size triangulated surfaces and the contours extraction of the 3D object by the use of the object curvature value. The curvatures values allow categorizing the type of the local surface of the 3D object. In present work the curvature was estimated for the free-form surfaces obtained by the 3D range scanner. A
Arūnas Lipnickas, Vidas Raudonis
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Liver Contour and Shape Analysis Under Pattern Clustering

2017
Liver cancer is most recently referred and researched medical data as it is considered to be the largest organ with monopolistic characters and features. Liver clustering and Pattern detection is discussed in this paper with narrow down application design for contour shape detection and analysis.
Nirmala S. Guptha, Kiran Kumari Patil
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Segmentation of crowd flow by trajectory clustering in active contours

The Visual Computer, 2019
Crowd analysis has become an important topic of research for visual surveillance community. This paper proposes an active contour-based trajectory clustering approach for crowd flow segmentation. To this end, the active contour method is applied to segment the foreground crowd region with an aim to optimize further tracking.
Sonu Lamba, Neeta Nain
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A Global Contour-Grouping Algorithm Based on Spectral Clustering

2008
Perceptual organization has two essential factors that affect the grouping result directly: how to extract grouping cues and how to grouping. In this paper, a global contour-grouping algorithm based on spectral clustering is presented. First, a new grouping cue called wavelet edge is obtained in multi-scale space, which not only has the property of ...
Hui Yin, Siwei Luo, Yaping Huang
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Region extraction method based on clustering along an object contour

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
For accurate region extraction, region-based active contour models (ACM) have been proposed. Compared with ordinary ACM, they require heavier loads of initial settings and further processing time. Considering these problems, for effective and efficient extraction, we propose a new region-based ACM.
Yuki Matsuzawa, Toru Abe, Itsuo Kumazawa
openaire   +1 more source