The week's pick
Reseach Article
A Collaborative Approach for Segmentation of Probe Image for Efficient Texture Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 10 |
| Year of Publication: 2019 |
| Authors: Divya Mathur, Sandeep Upadhyay |
10.5120/ijca2019918810
|
Divya Mathur, Sandeep Upadhyay . A Collaborative Approach for Segmentation of Probe Image for Efficient Texture Recognition. International Journal of Computer Applications. 178, 10 ( May 2019), 1-3. DOI=10.5120/ijca2019918810
Abstract
Image processing methodologies and domain is quite wide and really efficient now days for real time applications. Our work primarily deals with the domain of image segmentation and using segmentation concept, texture recognition has been performed with comparative results and simulations performed over a particular image dataset. The initial work in our proposed work is to perform segmentation on each part image then performing extraction .We have focused on segmentation followed by extraction so that the classification result may not contain much error. The conventional approach has been implemented in this regard first and then the main problem that has been formulated is patch up data pixels together which provide error in getting right and appropriate texture .In order to deal with the problem formulated in the existing work we have proposed a new commuted method in which the extraction and segmentation of image depends on the dynamic threshold set by user.
References
- A. Chaudhuri et al., Texture Recognition Systems for Different Languages with Soft Computing, Studies in Fuzziness and Soft Computing 352, DOI 10.1007/978-3-319-50252-6_2, Springer International Publishing AG 2017
- Debasish Basa ,Sukadev meher , “Handwritten Odia Character Recognition”, Presented in the National Conference on Recent Advances in Microwave Tubes, Devices and Communication Systems, Jagannath Gupta Institute of Engineering and Technology, Jaipur, March 4-5,2011
- Rajean Plamondon, Fellow IEEE and Sargur N. Srihari ,Fellow IEEE , “On-Line and Off-Line Handwritting character Recognition: A Comprehensive Survey”, 1EEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. VOL. 22, NO. 1. JANUARY 2000
- G.Vamvakas, B.Gatos, N. Stamatopoulos, and S.J.Perantonis, “A Complete Texture Recognition Methodology for Historical Documents”, the Eighth IAPR Workshop on Document Analysis Systems
- B.B. Chaudhuri U. Pal M. Mitra, “Automatic Recognition of Printed Oriya Script”
- Fumitaka KIMURA, Tetsushi WAKABAYASHI and Yasuji MIYAKE, “ On Feature Extraction for Limited Class Problem”
- Supriya Deshmukh, Leena Ragha, “Analysis of Directional Features - Stroke and Contour for Handwritten Character Recognition”, 2009 IEEE International Advance Computing Conference (IACC 2009) Patiala, India, 6-7 March 2009
- M. Blumenstein, B. K. Verma and H. Basli, “A Novel Feature ExtractionTechnique for the Recognition of Segmented Handwritten Characters”, 7th International Conference on Document Analysis and Recognition (ICDAR ’03) Eddinburgh, Scotland: pp.137-141, 2003.
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