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Locating and Detecting Nipple for Pornographic Image Identification

Amresh Vijay Nikam1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 1343-1347, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.13431347

Online published on Jul 31, 2018

Copyright © Amresh Vijay Nikam . 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: Amresh Vijay Nikam, “Locating and Detecting Nipple for Pornographic Image Identification,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1343-1347, 2018.

MLA Style Citation: Amresh Vijay Nikam "Locating and Detecting Nipple for Pornographic Image Identification." International Journal of Computer Sciences and Engineering 6.7 (2018): 1343-1347.

APA Style Citation: Amresh Vijay Nikam, (2018). Locating and Detecting Nipple for Pornographic Image Identification. International Journal of Computer Sciences and Engineering, 6(7), 1343-1347.

BibTex Style Citation:
@article{Nikam_2018,
author = {Amresh Vijay Nikam},
title = {Locating and Detecting Nipple for Pornographic Image Identification},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {1343-1347},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2610},
doi = {https://doi.org/10.26438/ijcse/v6i7.13431347}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.13431347}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2610
TI - Locating and Detecting Nipple for Pornographic Image Identification
T2 - International Journal of Computer Sciences and Engineering
AU - Amresh Vijay Nikam
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 1343-1347
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

In this paper, a fast and robust algorithm for identification of nude images based on the examination of skin color regions and nipple locating and detection is presented. The skin color information fundamentally provides regions of interest. So as to segment human skin area from non-skin areas in view of color, we require a dependable skin color model that is versatile to individuals of various skin hues and to various lighting conditions. We utilized a model of skin color in the YCbCr color space for separate out skin color region.

Key-Words / Index Term

Skin color segmentation, Object detection, Recognition, Porn image identification

References

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