Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Texture Classification of lung computed tomography (CT) using local binary patterns (LBP)

MOHD YUSRI, MOHAMAD AFIF SYAUQI (2015) Texture Classification of lung computed tomography (CT) using local binary patterns (LBP). IRC, Universiti Teknologi PETRONAS. (Unpublished)

Download (1474Kb) | Preview


Emphysema is a type of lung disease and those who suffering from it usually have breathing difficulty. Early detection using CT scan image can save life of many emphysema patient as well as assist medical practitioners in planning suitable treatment to patient. The CT scan of lung gives lung images taken from 3 directions; top, bottom, and center. From the slices, the medical practitioners can monitor the slices with unhealthy tissues and perform further examination. Texture classification and analysis is very important in assisting medical practitioners in diagnosis of emphysema of CT scan. In this work, we proposed an LBP-based lung classification algorithm. The local binary pattern (LBP) is one of the feature extraction technique that can be used in classify the image. Four type of LBP are used for extracting the lung feature

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 30 Sep 2015 09:31
Last Modified: 25 Jan 2017 09:36
URI: http://utpedia.utp.edu.my/id/eprint/15589

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...