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Analysis of Various Image Preprocessing Techniques for Denoising of Flower Images

Isha Patel1 , Sanskruti Patel2 , Atul Patel3

  1. Faculty of Computer Science and Applications, Charotar University of Science and Technology, Changa, India.
  2. Faculty of Computer Science and Applications, Charotar University of Science and Technology, Changa, India.
  3. Faculty of Computer Science and Applications, Charotar University of Science and Technology, Changa, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 1111-1117, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.11111117

Online published on May 31, 2018

Copyright © Isha Patel, Sanskruti Patel, Atul Patel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Isha Patel, Sanskruti Patel, Atul Patel, “Analysis of Various Image Preprocessing Techniques for Denoising of Flower Images,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.1111-1117, 2018.

MLA Style Citation: Isha Patel, Sanskruti Patel, Atul Patel "Analysis of Various Image Preprocessing Techniques for Denoising of Flower Images." International Journal of Computer Sciences and Engineering 6.5 (2018): 1111-1117.

APA Style Citation: Isha Patel, Sanskruti Patel, Atul Patel, (2018). Analysis of Various Image Preprocessing Techniques for Denoising of Flower Images. International Journal of Computer Sciences and Engineering, 6(5), 1111-1117.

BibTex Style Citation:
@article{Patel_2018,
author = {Isha Patel, Sanskruti Patel, Atul Patel},
title = {Analysis of Various Image Preprocessing Techniques for Denoising of Flower Images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {1111-1117},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2116},
doi = {https://doi.org/10.26438/ijcse/v6i5.11111117}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.11111117}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2116
TI - Analysis of Various Image Preprocessing Techniques for Denoising of Flower Images
T2 - International Journal of Computer Sciences and Engineering
AU - Isha Patel, Sanskruti Patel, Atul Patel
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 1111-1117
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Identification, and classification of flower images is a crucial issue faced by academicians and researchers. The manual process to distinguish different flower images is a complex task and found difficult for novice persons. A process of extraction, analysis, and understanding of useful information from images is accomplished by an automated process using Computer vision. It basically aims to model, replicate and exceed human vision using computer hardware and software. Image processing techniques may help to recognize a flower image for further identification and classification of them in different species. The fundamental step in image processing is image preprocessing that is applied to improve the quality of images and removing the irrelevant noises existed in images. This paper represents a comparative analysis of different image preprocessing techniques implemented on flower images. The performance evaluation of these techniques is based on their potential to remove noise in flower images. For performance evaluation, Peak Signal to Noise Ratio (PSNR) and Root Mean Square Error (RMSE) methods are used.

Key-Words / Index Term

Image processing, Image preprocessing techniques, PSNR, RMSE

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