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On principle axis based line symmetry clustering techniques

Sriparna Saha, Sanghamitra Bandyopadhyay
2010 Memetic Computing  
The proposed GA with line symmetry distance based (GALS) clustering technique is able to detect any type of clusters, irrespective of their geometrical shape, size or convexity as long as they possess  ...  The proposed distance uses a recently developed point symmetry (PS) based distance in its computation.  ...  The proposed GA with line symmetry distance based clustering technique (GALS) is able to detect both convex and non-convex clusters of any shape and sizes as long as the clusters do have some LS property  ... 
doi:10.1007/s12293-010-0049-0 fatcat:22skbnoxcfh4xeo74xasc2swxq

A line symmetry based genetic clustering technique: encoding lines in chromosomes

Sriparna Saha
2017 International Journal of Machine Learning and Cybernetics  
Use of this line symmetry based distance helps the proposed algorithm to detect line symmetric clusters having any shape or size.  ...  This table shows that both the line symmetry based clustering techniques, GALS and LSGA are able to detect the proper partitioning.  ... 
doi:10.1007/s13042-017-0680-x fatcat:xxq5od3k55hlrgirjno6z6fiuu

Symmetry Based Automatic Evolution of Clusters: A New Approach to Data Clustering

Singh Vijendra, Sahoo Laxman
2015 Computational Intelligence and Neuroscience  
We present a multiobjective genetic clustering approach, in which data points are assigned to clusters based on new line symmetry distance.  ...  The proposed algorithm is called multiobjective line symmetry based genetic clustering (MOLGC).  ...  In this algorithm points are assigned to different clusters based on the point symmetry based distance. It is able to detect clusters having point symmetry property.  ... 
doi:10.1155/2015/796276 pmid:26339233 pmcid:PMC4538775 fatcat:4vljj6jdpfgttl233wghod4ro4

Architectural decomposition for 3D landmark building understanding

Nikolay Kobyshev, Hayko Riemenschneider, Andras Bodis-Szomoru, Luc Van Gool
2016 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)  
We detect three types of structural cues, namely dominant mirror symmetries, rotational symmetries, and polylines capturing free-form shapes of the landmark not explained by symmetry.  ...  Although we focus on landmark buildings, our approach generalizes to arbitrary 3D objects.  ...  symmetries, as well as residual free-form parts) in point clouds, • a global energy formulation and optimization approach for partitioning a point cloud into meaningful structural components based on  ... 
doi:10.1109/wacv.2016.7477653 dblp:conf/wacv/KobyshevRBG16 fatcat:cnlqxlmubrcqvd77d2vuaqxcx4

Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images

Wei Shen, Xiang Bai, Zihao Hu, Zhijiang Zhang
2016 Pattern Recognition  
respectively on well partitioned subspaces.  ...  Encouraging experimental results on two datasets demonstrate that the proposed local reflection symmetry detection method outperforms current state-of-the-arts.  ...  [24] propose a symmetry detection method based on multi-scale superpixel segmentation.  ... 
doi:10.1016/j.patcog.2015.10.015 fatcat:vfmwyvbgsjelndhn3rvuu2u56u

Enhancing point symmetry-based distance for data clustering

Sriparna Saha
2017 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
The proposed GA with newly developed point symmetry distance based (GAnPS) clustering algorithm is capable of determining different symmetrical shaped clusters having any sizes or convexities.  ...  Thereafter a new clustering algorithm based on the search capability of genetic algorithm is developed where the newly developed point symmetrybased distance is used for cluster assignment.  ...  detect hyperellipsoidal shaped clusters.  ... 
doi:10.1007/s00500-016-2477-3 fatcat:eqaipjpugvaflmv2y3ifmr47tu

Object detection and segmentation on a hierarchical region-based image representation

Veronica Vilaplana, Ferran Marq, Miriam Leon, Antoni Gasull
2010 2010 IEEE International Conference on Image Processing  
In this paper we present a general framework for object detection and segmentation.  ...  Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the image at different resolution levels is created.  ...  INTRODUCTION The most common approaches to object detection are block-based: the image is scanned at multiple scales with a sliding window of fixed size and shape -typically rectangular-, and the contents  ... 
doi:10.1109/icip.2010.5649967 dblp:conf/icip/VilaplanaMLG10 fatcat:vd37egtf5zcklmvbwuplamrhma

A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation

Sriparna Saha, Sanghamitra Bandyopadhyay, Ujjwal Maulik
2006 9th International Conference on Information Technology (ICIT'06)  
on different partitions of a data set.  ...  We have used one genetic clustering algorithm for partitioning the data set.  ...  One of the basic feature of shapes and objects is symmetry. Su and Chou have proposed a point symmetry (PS) distance based similarity measure [9] .  ... 
doi:10.1109/icit.2006.15 dblp:conf/cit/SahaBM06 fatcat:xsl2n476sfczxja6cori5t46ke

A modified version of the K-means algorithm with a distance based on cluster symmetry

Mu-Chun Su, Chien-Hsing Chou
2001 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The proposed algorithm adopts a novel nonmetric distance measure based on the idea of ªpoint symmetry.º This kind of ªpoint symmetry distanceº can be applied in data clustering and human face detection  ...  Based on above discussions, we propose a nonmetric distance based on the concept of point symmetry.  ...  Most clustering algorithms based on objective function minimization fail to detect this kind of data sets because their performance depends on the dissimilarity measures used to generate a partition of  ... 
doi:10.1109/34.927466 fatcat:yqwavmc4y5eyxeitc77oaudqaa

A validity index based on cluster symmetry

Sriparna Saha, Sanghamitra Bandyopadhyay
2007 2007 IEEE International Conference on Systems, Man and Cybernetics  
A Kd-tree-based data structure is used to reduce the complexity of computing the symmetry distance.  ...  The index is able to address all the above mentioned issues, viz., determining the number of clusters and evolving the proper partitioning as long as the clusters possess the property of symmetry.  ...  One of the basic feature of shapes and objects is symmetry. Su and Chou have proposed a point symmetry (PS) distance based similarity measure [2] .  ... 
doi:10.1109/icsmc.2007.4413627 dblp:conf/smc/SahaB07 fatcat:f2dm7wnnsne2jfbzuqyzifruru

Nhs: Network-based hierarchical segmentation for cryo-electron microscopy density maps

Virginia Burger, Chakra Chennubhotla
2012 Biopolymers  
We validate the segmentations with ground-truth maps based on atomistic models.  ...  Our network-based bias-free segmentation method for cryo-EM density map segmentation, Nhs (Network-based hierarchical segmentation), provides the user with a multi-scale partitioning, reflecting local  ...  Future improvements to this method will detect map symmetry and choose nodes in each level based on symmetric regions, with the goal of producing high accuracy, unsupervised segmentations of cryo-EM maps  ... 
doi:10.1002/bip.22041 pmid:22696408 pmcid:PMC3483038 fatcat:d3q66jjjp5aiddvy5ieertqcmi

A Validity Index Based on Cluster Symmetry [chapter]

Sriparna Saha, Sanghamitra Bandyopadhyay
2007 Advances in Pattern Recognition  
A Kd-tree-based data structure is used to reduce the complexity of computing the symmetry distance.  ...  The index is able to address all the above mentioned issues, viz., determining the number of clusters and evolving the proper partitioning as long as the clusters possess the property of symmetry.  ...  One of the basic feature of shapes and objects is symmetry. Su and Chou have proposed a point symmetry (PS) distance based similarity measure [2] .  ... 
doi:10.1007/978-1-84628-945-3_6 fatcat:7xszmb37z5hhbmndwrliinc6ja

PZT-Based Detection of Compactness of Concrete in Concrete Filled Steel Tube Using Time Reversal Method

Shi Yan, Jinzhi Fu, Wei Sun, Baohui Qi, Fuxue Liu
2014 Mathematical Problems in Engineering  
Based on the proposed nonprototype, two indices of time reversibility (TR) and symmetry (SYM) were applied to relatively evaluate the level of concrete compactness in the range of the two SAs.  ...  A smart aggregate-based approach is proposed for the concrete compactness detection of concrete filled steel tube (CFST) columns.  ...  Based on this premise, two indices of time reversibility TR and symmetry SYM are applied for damage identification [16] .  ... 
doi:10.1155/2014/909682 fatcat:tsdsrzyr3faelgu64nzdlny4hu

Geometric approach to segmentation and protein localization in cell culture assays

S. RAMAN, C. A. MAXWELL, M. H. BARCELLOS-HOFF, B. PARVIN
2007 Journal of Microscopy  
Cell-based fluorescence imaging assays are heterogeneous and require the collection of a large number of images for detailed quantitative analysis.  ...  From the protein localization perspective, radial symmetry is imposed to localize punctate protein events at sub-micron resolution.  ...  Techniques in radial symmetries, as evidenced by centrosome configuration, can be classified into three different categories: (1) point operations leading to dense output, (2) clustering based on parameterized  ... 
doi:10.1111/j.1365-2818.2007.01712.x pmid:17286692 fatcat:wg7ib2xoina25ehdni6q2bjea4

Generalization of Visual Shapes by Flexible and Simple Rules

Bart Ons, Johan Wagemans
2012 Seeing and Perceiving  
We also introduced a method based on the frequency distribution of the formed partitions in the stimulus sets, which allowed us to verify the role of rules and similarity in categorization.  ...  Rules are based on a number of identical properties between objects but these correspondences also make objects appearing more similar.  ...  shape has only two axes of symmetry (right panels), the compact triangular shape has three axes of symmetry (left panel), while the more salient and less compact triangular shape does not have any axis  ... 
doi:10.1163/187847511x571519 pmid:21771394 fatcat:zcognjvi7naohfwxwrmjnz53ju
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