Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules

Genevieve C. Ngo; Erees Queen B. Macabebe

doi:10.1109/TENCON.2016.7848290

Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules

Genevieve C. Ngo, Erees Queen B. Macabebe

Department of Electronics, Computer, and Communications Engineering

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1614-1618
Number of pages	5
ISBN (Electronic)	9781509025961
DOIs	https://doi.org/10.1109/TENCON.2016.7848290
State	Published - Feb 8 2017
Event	2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore Duration: Nov 22 2016 → Nov 25 2016

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2016 IEEE Region 10 Conference, TENCON 2016
Country/Territory	Singapore
City	Singapore
Period	11/22/16 → 11/25/16

ASJC Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering

Keywords

Color Quantization
DBSCAN
K-Means Clustring
hotspot detection
image processing
image segmentation
infrared imaging
machine learning
photovoltaic

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TENCON.2016.7848290

Cite this

Ngo, G. C., & Macabebe, E. Q. B. (2017). Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016 (pp. 1614-1618). Article 7848290 (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2016.7848290

Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules. / Ngo, Genevieve C.; Macabebe, Erees Queen B.
Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1614-1618 7848290 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ngo, GC & Macabebe, EQB 2017, Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules. in Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016., 7848290, IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., pp. 1614-1618, 2016 IEEE Region 10 Conference, TENCON 2016, Singapore, Singapore, 11/22/16. https://doi.org/10.1109/TENCON.2016.7848290

Ngo GC, Macabebe EQB. Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1614-1618. 7848290. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2016.7848290

Ngo, Genevieve C. ; Macabebe, Erees Queen B. / Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules. Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1614-1618 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

@inproceedings{33890d443d744ca4afaf127aeed23a5b,

title = "Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules",

keywords = "Color Quantization, DBSCAN, K-Means Clustring, hotspot detection, image processing, image segmentation, infrared imaging, machine learning, photovoltaic",

author = "Ngo, {Genevieve C.} and Macabebe, {Erees Queen B.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Region 10 Conference, TENCON 2016 ; Conference date: 22-11-2016 Through 25-11-2016",

year = "2017",

month = feb,

day = "8",

doi = "10.1109/TENCON.2016.7848290",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1614--1618",

booktitle = "Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016",

}

TY - GEN

T1 - Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules

AU - Ngo, Genevieve C.

AU - Macabebe, Erees Queen B.

PY - 2017/2/8

Y1 - 2017/2/8

KW - Color Quantization

KW - DBSCAN

KW - K-Means Clustring

KW - hotspot detection

KW - image processing

KW - image segmentation

KW - infrared imaging

KW - machine learning

KW - photovoltaic

UR - http://www.scopus.com/inward/record.url?scp=85015452922&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015452922&partnerID=8YFLogxK

U2 - 10.1109/TENCON.2016.7848290

DO - 10.1109/TENCON.2016.7848290

M3 - Conference contribution

AN - SCOPUS:85015452922

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

SP - 1614

EP - 1618

BT - Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Region 10 Conference, TENCON 2016

Y2 - 22 November 2016 through 25 November 2016

ER -

Image segmentation using K-means color quantization and density-based spatial clustering of applications with noise (DBSCAN) for hotspot detection in photovoltaic modules

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this