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Analysis of Disease in plant leaves by image segmentation method

Sachin Singh1 , J.P. Upadhyay2 , Shivangi Singh3

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-10 , Page no. 46-49, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si10.4649

Online published on May 05, 2019

Copyright © Sachin Singh, J.P. Upadhyay, Shivangi Singh . 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: Sachin Singh, J.P. Upadhyay, Shivangi Singh, “Analysis of Disease in plant leaves by image segmentation method,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.10, pp.46-49, 2019.

MLA Style Citation: Sachin Singh, J.P. Upadhyay, Shivangi Singh "Analysis of Disease in plant leaves by image segmentation method." International Journal of Computer Sciences and Engineering 07.10 (2019): 46-49.

APA Style Citation: Sachin Singh, J.P. Upadhyay, Shivangi Singh, (2019). Analysis of Disease in plant leaves by image segmentation method. International Journal of Computer Sciences and Engineering, 07(10), 46-49.

BibTex Style Citation:
@article{Singh_2019,
author = {Sachin Singh, J.P. Upadhyay, Shivangi Singh},
title = {Analysis of Disease in plant leaves by image segmentation method},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {10},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {46-49},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=972},
doi = {https://doi.org/10.26438/ijcse/v7i10.4649}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i10.4649}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=972
TI - Analysis of Disease in plant leaves by image segmentation method
T2 - International Journal of Computer Sciences and Engineering
AU - Sachin Singh, J.P. Upadhyay, Shivangi Singh
PY - 2019
DA - 2019/05/05
PB - IJCSE, Indore, INDIA
SP - 46-49
IS - 10
VL - 07
SN - 2347-2693
ER -

           

Abstract

A new plant cell image segmentation algorithm is presented in this paper. The difficulty of the segmentation of plant cells lies in the complex shapes of the cells and their overlapping, often present due to recent cellular division. The algorithm presented tries to imitate the human procedure for segmenting overlapping and touching particles. In this context, one of the principal technical challenges remains the faithful detection of cellular contours, principally due to variations in image intensity throughout the tissue. Watershed segmentation methods are especially vulnerable to these variations, generating multiple errors due notably to the incorrect detection of the outer surface of the tissue.

Key-Words / Index Term

Segment, tissue, watershed, cellular

References

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