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On principle axis based line symmetry clustering techniques
2010
Memetic Computing
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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
2017
International Journal of Machine Learning and Cybernetics
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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
2015
Computational Intelligence and Neuroscience
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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
2016
2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
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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
2016
Pattern Recognition
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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
2017
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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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
2010
2010 IEEE International Conference on Image Processing
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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
2006
9th International Conference on Information Technology (ICIT'06)
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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
2001
IEEE Transactions on Pattern Analysis and Machine Intelligence
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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
2007
2007 IEEE International Conference on Systems, Man and Cybernetics
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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
2012
Biopolymers
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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]
2007
Advances in Pattern Recognition
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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
2014
Mathematical Problems in Engineering
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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
2007
Journal of Microscopy
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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
2012
Seeing and Perceiving
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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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