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An Effective Approach of Thinning for Morphological Features An Effective Approach of Thinning for Morphological Features

Kapila Sharma1

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-10 , Page no. 58-60, Oct-2015

Online published on Oct 31, 2015

Copyright © Kapila Sharma . 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: Kapila Sharma, “An Effective Approach of Thinning for Morphological Features An Effective Approach of Thinning for Morphological Features,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.10, pp.58-60, 2015.

MLA Style Citation: Kapila Sharma "An Effective Approach of Thinning for Morphological Features An Effective Approach of Thinning for Morphological Features." International Journal of Computer Sciences and Engineering 3.10 (2015): 58-60.

APA Style Citation: Kapila Sharma, (2015). An Effective Approach of Thinning for Morphological Features An Effective Approach of Thinning for Morphological Features. International Journal of Computer Sciences and Engineering, 3(10), 58-60.

BibTex Style Citation:
@article{Sharma_2015,
author = {Kapila Sharma},
title = {An Effective Approach of Thinning for Morphological Features An Effective Approach of Thinning for Morphological Features},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2015},
volume = {3},
Issue = {10},
month = {10},
year = {2015},
issn = {2347-2693},
pages = {58-60},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=704},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=704
TI - An Effective Approach of Thinning for Morphological Features An Effective Approach of Thinning for Morphological Features
T2 - International Journal of Computer Sciences and Engineering
AU - Kapila Sharma
PY - 2015
DA - 2015/10/31
PB - IJCSE, Indore, INDIA
SP - 58-60
IS - 10
VL - 3
SN - 2347-2693
ER -

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Abstract

Thinning is a challenging and important part while involvement with any image extraction process many works have been presented in this area, many thinning algorithms though have produced good results but still there needs a lot of improvement. Most of the algorithms based on thinning an image cannot justify the connectivity of various parts of the image. This paper presents algorithm for automated thinning of linear features by maintaining the integrity of pixels in order to maintain the connectedness. The connectivity of various pixels is achieved by traversing through the pixels and considering those pixels which have maximum number of neighbors. The iterative algorithm for thinning as presented in this paper takes the image into sections and represents each section as matrix to perform number of traversals. Thinning is an essential step of data compression useful in recognition and extraction of various morphological features from topographic sheets.

Key-Words / Index Term

Thinning, Morphological features

References

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