01946ntm a2200253 a 4500 vtls000073747 KUKTEM 20251114204544.0 130801t2012 my da f m 000 0 eng d THE0007089(Local) 201906131106 hanafiah 201308011501 Fida UMP TK8315 .S93 2012 rs Bc. Nur Syazreen Ardnan Foreground and background detection of thermal image for h1ni screening / Nur Syazreen Ardnan Kuantan, Pahang : UMP, 2012 xii, 42 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2012 Bibliography : p. 41-42 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, FG detection .m is the execution file in MATLAB that takes the input image and output the image with detected peoples. Image intensifiers Electronic cameras 0 0 0 1 20000 20000 2019-09-04 0 TK8315 .S93 2012 rs Bc. 0000071316 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 6713 | TK8315 .S93 2012 rs Bc. 0000071317 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4054 4060 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992