000 | 03207nam a22005535i 4500 | ||
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001 | 978-3-319-47524-0 | ||
003 | DE-He213 | ||
005 | 20200421112552.0 | ||
007 | cr nn 008mamaa | ||
008 | 161111s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319475240 _9978-3-319-47524-0 |
||
024 | 7 |
_a10.1007/978-3-319-47524-0 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aTJFM1 _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aDe, Sourav. _eauthor. |
|
245 | 1 | 0 |
_aHybrid Soft Computing for Multilevel Image and Data Segmentation _h[electronic resource] / _cby Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aXIV, 235 p. 99 illus., 39 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aComputational Intelligence Methods and Applications, _x2510-1765 |
|
505 | 0 | _aIntroduction -- Image Segmentation: A Review -- Self-supervised Gray Level Image Segmentation Using an Optimized MUSIG (OptiMUSIG) Activation Function -- Self-supervised Color Image Segmentation Using Parallel OptiMUSIG (ParaOptiMUSIG) Activation Function -- Self-supervised Gray Level Image Segmentation Using Multiobjective Based Optimized MUSIG (OptiMUSIG) Activation Function -- Self-supervised Color Image Segmentation Using Multiobjective Based Parallel Optimized MUSIG (ParaOptiMUSIG) Activation Function -- Unsupervised Genetic Algorithm Based Automatic Image Segmentation and Data Clustering Technique Validated by Fuzzy Intercluster Hostility Index. | |
520 | _aThis book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures. This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer graphics. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
700 | 1 |
_aBhattacharyya, Siddhartha. _eauthor. |
|
700 | 1 |
_aChakraborty, Susanta. _eauthor. |
|
700 | 1 |
_aDutta, Paramartha. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319475233 |
830 | 0 |
_aComputational Intelligence Methods and Applications, _x2510-1765 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-47524-0 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c58897 _d58897 |