Nur Syazreen, Ardnan (2012) Foreground and background detection of thermal image for h1ni screening. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
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Abstract
The thermal imaging cameras used in airports are specifically designed to detect anyone with a higher than normal body temperature in a subtle and non invasive way. The cameras are able to gather information on an individual’s body temperature in a matter of seconds allowing airport officials to vastly narrow down possible carriers of the diseases and help avoid a flu pandemic. The cameras produce infrared images of peoples and detects if the temperature falls within a certain acceptable range. The dissertation objective is to design software to automatically detect the people in the image. Using image pre-processing technique which background-subtraction to remove the background of the image and by using image processing technique such as thresholding and morphology, to detect the foreground of the image which are the peoples, filling, lining and some more techniques, FGdetection.m is the execution file in MATLAB that takes the input image and output the image with detected peoples.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Uncontrolled Keywords: | Image intensifiers; Electronic cameras |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mr. Nik Ahmad Nasyrun Nik Abd Malik |
| Date Deposited: | 06 Jan 2014 03:17 |
| Last Modified: | 02 Jun 2021 03:15 |
| URI: | http://umpir.ump.edu.my/id/eprint/4591 |
| Download Statistic: | View Download Statistics |
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