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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Satellite Image Processing Using SVM classifier and ELBP-ML Features |
| Authors Name: | Riya Chourasiya , Prof. Shailesh Khaparkar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181536
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| Published Paper Id: | IJRTI2106004 |
| Published In: | Volume 6 Issue 6, June-2021 |
| DOI: | |
| Abstract: | In this paper, Machine learning model used with components Support vector machine (SVM) Classifier and Extended Local Binary Patterns (ELBP) is used for Image Processing from highly noise corrupted images. The implementation of proposed methodology is being carried out by estimating the noise patterns of wireless image through configuring System Identification with SVM Classifier. The restored images are functioned for further de-noising and LBP Processing techniques. The experimental results demonstrate that SVM Classifier efficiently extract the features and Extended Local Binary Patterns (ELBP) eliminated noise from distorted images and delivered a virtuous evaluation without abundant degradation in performance. Image processing is one of classical problems of concern in image processing. There are various approaches for solving this problem. The aim of this paper is bring together two areas in which are Extended Local binary patterns (ELBP) and Support Vector Machine (SVM) applying for image processing. Firstly, we separate the image into many sub-images based on the features of images. Each sub-image is classified into the responsive class by an ELBP. Finally, SVM has been compiled all the classify result of LBP. Our proposal processing model has brought together many ELBP and one SVM. Let it denote ELBP_SVM. LBP_SVM has been applied for Roman numerals recognition application and the precision rate is 86%. The experimental results show the feasibility of our proposal model. |
| Keywords: | ELBP-Extended Local Binary Patterns, AWGN-Additive White Gaussian Noise, SVM-Support vector machine |
| Cite Article: | "Satellite Image Processing Using SVM classifier and ELBP-ML Features", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 6, page no.13 - 20, June-2021, Available :http://www.ijrti.org/papers/IJRTI2106004.pdf |
| Downloads: | 000204819 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2106004
Registration ID:181536
Published In: Volume 6 Issue 6, June-2021
DOI (Digital Object Identifier):
Page No: 13 - 20 Country: Jabalapur, MP, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2106004 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2106004 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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