INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Basic Image processing techniques through R-Language
Authors Name:
B RAJESH
, C REDDI NEELIMA , V RAJYALAKSHMI , M S VANI , N V NEERAJA
Unique Id:
IJSDR1811010
Published In:
Volume 3 Issue 11, November-2018
Abstract:
Image processing is a method to analysis and manipulation of a digitized image, especially in order to improve its quality, it plays an important role in many streams like medical, security, banking and all type of criminal activities. To days world generates huge amount of image database and it increase day by day massively so the tools like MATLAB is not sufficient to compute and analyze that much of data, in this paper discussing about such data handling tool namely R. R is a language as well as perfect tool to analyze big data, but till now R is not proven that it can also handle image processing. I want to prove R tool in image processing can handle the huge amount of data, In R-language there are mainly three packages (magick, imager, EBImage) that hold the basic image processing techniques like transformations, filters, color management, histogram equalization and so on Shown with the R tool. For processing an image by using R-language use R studio, we can take any real time picture are image as an input in this project. Finally we can shows R is a powerful tool to processing an image compared to MATLAB.
Keywords:
Image Processing, R tool , , magick, imager, EBImage, transformations, filters, color management, histogram Equalization.
Cite Article:
"Basic Image processing techniques through R-Language", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.46 - 53, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811010.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR1811010
Registration ID:180757
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 46 - 53
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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