UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905761


Registration ID:
207345

Page Number

344_349

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Title

CNN Based automated weed removal Bot using Raspberry Pi 3

Abstract

Abstract: Inpainting is a method that aims at removal of unwanted objects or filling of missing data in a designated region of a still image or video. In this paper, an inpainting algorithm in presented for patterned textures with the help of periodic patterns extracted from the image. Dimensions of the periodic patterns are extracted from the input color image from red, green and blue (RGB) components using superposition of Distance Matching Function. Ideal periodic patterns are constructed from the input image through different statistics such as mean, median and mode. These patterns are synthesized in RGB components by titling horizontally and vertically to obtain the inpainted textures without the need of any mask. Quality of the inpainted image is evaluated through mean squared error, (MSE), peak signal to noise ratio (PSNR) and visual appearance. IndexTerms - Inpainting, Regular Texture, Periodicity, Periodic Pattern, Distance Matching Function.

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"CNN Based automated weed removal Bot using Raspberry Pi 3", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.344_349, May-2019, Available :http://www.jetir.org/papers/JETIR1905761.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CNN Based automated weed removal Bot using Raspberry Pi 3", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp344_349, May-2019, Available at : http://www.jetir.org/papers/JETIR1905761.pdf

Publication Details

Published Paper ID: JETIR1905761
Registration ID: 207345
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 344_349
Country: Bangalore , Karnataka , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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