Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations

By definition, image processing is a method in order to enhanced or extract some information from the operations. Image processing involved three basic steps which are importing an image through image acquisition tools, image analysis and manipulation and image output based on image analysis. Ima...

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Main Author: Azman, Muhammad Amirul
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22617 /
Published: Universiti Teknologi PETRONAS 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/22617/1/MUHAMMAD%20AMIRUL%20BIN%20AZMAN__17533_FR.pdf
http://utpedia.utp.edu.my/22617/
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spelling utp-utpedia.226172022-02-17T07:57:24Z http://utpedia.utp.edu.my/22617/ Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations Azman, Muhammad Amirul TK Electrical engineering. Electronics Nuclear engineering By definition, image processing is a method in order to enhanced or extract some information from the operations. Image processing involved three basic steps which are importing an image through image acquisition tools, image analysis and manipulation and image output based on image analysis. Image processing involved in almost every kind of application such as in medical field, remote sensing, video processing and etc. Segmentation are one of the technique in image processing which remove unnecessary background from the image and extract only useful information in an image. Segmentation is a primary step in cell counting and quantification of cells in medical diagnosis and treatment. Universiti Teknologi PETRONAS 2016-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22617/1/MUHAMMAD%20AMIRUL%20BIN%20AZMAN__17533_FR.pdf Azman, Muhammad Amirul (2016) Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Azman, Muhammad Amirul
Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations
description By definition, image processing is a method in order to enhanced or extract some information from the operations. Image processing involved three basic steps which are importing an image through image acquisition tools, image analysis and manipulation and image output based on image analysis. Image processing involved in almost every kind of application such as in medical field, remote sensing, video processing and etc. Segmentation are one of the technique in image processing which remove unnecessary background from the image and extract only useful information in an image. Segmentation is a primary step in cell counting and quantification of cells in medical diagnosis and treatment.
format Final Year Project
author Azman, Muhammad Amirul
author_sort Azman, Muhammad Amirul
title Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations
title_short Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations
title_full Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations
title_fullStr Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations
title_full_unstemmed Segmentation and Cell Counting of Fluorescence Oral Cancer Cell Images Using Morphological Operations
title_sort segmentation and cell counting of fluorescence oral cancer cell images using morphological operations
publisher Universiti Teknologi PETRONAS
publishDate 2016
url http://utpedia.utp.edu.my/22617/1/MUHAMMAD%20AMIRUL%20BIN%20AZMAN__17533_FR.pdf
http://utpedia.utp.edu.my/22617/
_version_ 1741195841856602112
score 11.62408

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