In this paper, Near Set Evaluation and Recognition (NEAR) system has been evaluated and analyzed to retrieve perceptual information among images which can resemble human perception. NEAR System is a basic tool for image processing. Different image databases with varied category have been examined to determine the similarity among them. Work is preceded by partitioning an image into different objects. Nearness is performed on the basis of these objects. Work is done in version V3.0 of NEAR System. Calculation of equivalence classes, tolerance classes, segmentation evaluation, nearness among different images has been analyzed
| Published in | American Journal of Optics and Photonics (Volume 3, Issue 5) |
| DOI | 10.11648/j.ajop.20150305.18 |
| Page(s) | 114-117 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Near Set Evaluation and Recognition (NEAR), Near Set Index (NSI)
| [1] | C. Henry and J. F. Peters, “Near set Evaluation And Recognition (NEAR) System”, UM CI Laboratory Technical Report, Number TR-2009-015, p.no:1-18, 2009. |
| [2] | Database URL: http://wang.ist.psu.edu/docs/related/. |
| [3] | C. J. Henry, “Near Sets: Theory and Applications,” Ph.D. Thesis, University of Winnipeg, Canada, 2010. |
| [4] | N. Jawas and N. Suciati, “Image Inpainting using Erosion and Dilation Operation”, International Journal of Advanced Science and Technology, vol. 51, pp. 127-134, 2013. |
| [5] | C. Henry and J. F. Peters, “Near set index in an objective image segmentation evaluation Framework”, Geobia, 2008–Pixels, Objects, Intelligence: GEO graphic Object Based Image Analysis for the 21st Century, University of Calgary, Alberta, Canada, 6-7 Aug, 2008. |
| [6] | C. Henry and J. F. Peters, “Near set Evaluation And Recognition (NEAR) System V3.0”, UM CI Laboratory Technical Report, Number TR-2012-019, January 9, 2012. |
APA Style
Sumit Kumar Pandey, Kunal Kumar. (2015). Analysis of Near System in Terms of Image Retrieval. American Journal of Optics and Photonics, 3(5), 114-117. https://doi.org/10.11648/j.ajop.20150305.18
ACS Style
Sumit Kumar Pandey; Kunal Kumar. Analysis of Near System in Terms of Image Retrieval. Am. J. Opt. Photonics 2015, 3(5), 114-117. doi: 10.11648/j.ajop.20150305.18
AMA Style
Sumit Kumar Pandey, Kunal Kumar. Analysis of Near System in Terms of Image Retrieval. Am J Opt Photonics. 2015;3(5):114-117. doi: 10.11648/j.ajop.20150305.18
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajop.20150305.18,
author = {Sumit Kumar Pandey and Kunal Kumar},
title = {Analysis of Near System in Terms of Image Retrieval},
journal = {American Journal of Optics and Photonics},
volume = {3},
number = {5},
pages = {114-117},
doi = {10.11648/j.ajop.20150305.18},
url = {https://doi.org/10.11648/j.ajop.20150305.18},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajop.20150305.18},
abstract = {In this paper, Near Set Evaluation and Recognition (NEAR) system has been evaluated and analyzed to retrieve perceptual information among images which can resemble human perception. NEAR System is a basic tool for image processing. Different image databases with varied category have been examined to determine the similarity among them. Work is preceded by partitioning an image into different objects. Nearness is performed on the basis of these objects. Work is done in version V3.0 of NEAR System. Calculation of equivalence classes, tolerance classes, segmentation evaluation, nearness among different images has been analyzed},
year = {2015}
}
TY - JOUR T1 - Analysis of Near System in Terms of Image Retrieval AU - Sumit Kumar Pandey AU - Kunal Kumar Y1 - 2015/08/24 PY - 2015 N1 - https://doi.org/10.11648/j.ajop.20150305.18 DO - 10.11648/j.ajop.20150305.18 T2 - American Journal of Optics and Photonics JF - American Journal of Optics and Photonics JO - American Journal of Optics and Photonics SP - 114 EP - 117 PB - Science Publishing Group SN - 2330-8494 UR - https://doi.org/10.11648/j.ajop.20150305.18 AB - In this paper, Near Set Evaluation and Recognition (NEAR) system has been evaluated and analyzed to retrieve perceptual information among images which can resemble human perception. NEAR System is a basic tool for image processing. Different image databases with varied category have been examined to determine the similarity among them. Work is preceded by partitioning an image into different objects. Nearness is performed on the basis of these objects. Work is done in version V3.0 of NEAR System. Calculation of equivalence classes, tolerance classes, segmentation evaluation, nearness among different images has been analyzed VL - 3 IS - 5 ER -
Information
Email: