Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee

The surface quality of an object is called the texture and the surface of any visible object is textured at certain scale. As well, the variation of light or dark patterns of various textures are indications for visual enjoying. Moreover, texture is a feature used as a border for images into the cer...

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Main Author:	Ruslee, Nur Syahira
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TD Environmental technology. Sanitary engineering
Online Access:	http://ir.uitm.edu.my/id/eprint/28303/ http://ir.uitm.edu.my/id/eprint/28303/1/TD_NUR%20SYAHIRA%20RUSLEE%20AP%20R%2019_5.pdf

id	uitm-28303
recordtype	eprints
spelling	uitm-283032020-02-12T06:51:15Z http://ir.uitm.edu.my/id/eprint/28303/ Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee Ruslee, Nur Syahira TD Environmental technology. Sanitary engineering The surface quality of an object is called the texture and the surface of any visible object is textured at certain scale. As well, the variation of light or dark patterns of various textures are indications for visual enjoying. Moreover, texture is a feature used as a border for images into the certain regions or places and it can be used to classify those regions. The texture provides the information in spatial arrangement of colours or intensities in an image. The aim of this project is to produce Gray Level Co-Occurrence Matrix (GLCM) mapping at Sungai Muda. The objective of this study is to generate the four texture parameters (contrast, entropy, correlation, and homogeneity) using the GLCM at Sungai Muda, Kedah and then produce the four maps of the classification based on the grey value own each parameter. Next, to identify the most significant parameter using regression analysis and mapping the distribution of WQI based on the most significant parameter. The in-situ data (water quality parameters) were obtained from Department of Environment Malaysia (DOE) and satellite image of Geo-Eye 1 with spatial resolution 0.5m was obtained from Agency Remote Sensing Malaysia (ARSM). The three software were used in this project such as ERDAS imagine, ENVI and ArcGIS. The results show four maps from the GLCM method and the most significant GLCM map will produces the distribution of the WQI map. 2020-02-11 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/28303/1/TD_NUR%20SYAHIRA%20RUSLEE%20AP%20R%2019_5.pdf Ruslee, Nur Syahira (2020) Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	TD Environmental technology. Sanitary engineering
spellingShingle	TD Environmental technology. Sanitary engineering Ruslee, Nur Syahira Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee
description	The surface quality of an object is called the texture and the surface of any visible object is textured at certain scale. As well, the variation of light or dark patterns of various textures are indications for visual enjoying. Moreover, texture is a feature used as a border for images into the certain regions or places and it can be used to classify those regions. The texture provides the information in spatial arrangement of colours or intensities in an image. The aim of this project is to produce Gray Level Co-Occurrence Matrix (GLCM) mapping at Sungai Muda. The objective of this study is to generate the four texture parameters (contrast, entropy, correlation, and homogeneity) using the GLCM at Sungai Muda, Kedah and then produce the four maps of the classification based on the grey value own each parameter. Next, to identify the most significant parameter using regression analysis and mapping the distribution of WQI based on the most significant parameter. The in-situ data (water quality parameters) were obtained from Department of Environment Malaysia (DOE) and satellite image of Geo-Eye 1 with spatial resolution 0.5m was obtained from Agency Remote Sensing Malaysia (ARSM). The three software were used in this project such as ERDAS imagine, ENVI and ArcGIS. The results show four maps from the GLCM method and the most significant GLCM map will produces the distribution of the WQI map.
format	Thesis
author	Ruslee, Nur Syahira
author_facet	Ruslee, Nur Syahira
author_sort	Ruslee, Nur Syahira
title	Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee
title_short	Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee
title_full	Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee
title_fullStr	Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee
title_full_unstemmed	Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee
title_sort	texture analysis using gray level co-occurence matrix (glcm) for water quality index at sungai muda, kedah / nur syahira ruslee
publishDate	2020
url	http://ir.uitm.edu.my/id/eprint/28303/ http://ir.uitm.edu.my/id/eprint/28303/1/TD_NUR%20SYAHIRA%20RUSLEE%20AP%20R%2019_5.pdf
first_indexed	2023-09-18T23:19:59Z
last_indexed	2023-09-18T23:19:59Z
_version_	1777419366793478144

Texture analysis using gray level Co-Occurence matrix (GLCM) for water quality index at Sungai Muda, Kedah / Nur Syahira Ruslee

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