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DETEKSI KONDISI USUS BESAR MELALUI IRITASI MATA MENGGUNAKAN TEKNIK PENGOLAHAN CITRA DIGITAL
ALAN BUDI HARTONO (2007) | Skripsi | Teknik Komputer , Sistem Komputer , Teknik Komputer , Sistem Komputer
Bagikan
Ringkasan
The final project discusses about bowels disorder detection with the
principal of iridology. Iridology is a method to analyze a disease through iris by
looking at the changes of its colour, form, shape and texture. Iridologist takes
picture of patient’s iris by using digital camera and observes it in computer
monitor so that the iris can describe body condition, strength, weakness, health
level and the changes that occurs in someone body based on scientific method
Image processing represent a technique or method able to be used
process picture of image by away of manipulation become picture data wanted get
certain information. Image object to be tested is image of format grayscale and
representation 8 bit grayscale level with ekstension BMP
Combination from iridology and digital image processing in one
computerized sytem iridolgy unity will yield the objective classification and can
easier the work from a iridologist
Result of research with Tehnic Digital Image Processing have succeedeed
to recognize examination data with accuracy percentage equal to 82.66% and
mistake percentage 17.34%
Ringkasan Alternatif
The final project discusses about bowels disorder detection with the
principal of iridology. Iridology is a method to analyze a disease through iris by
looking at the changes of its colour, form, shape and texture. Iridologist takes
picture of patient’s iris by using digital camera and observes it in computer
monitor so that the iris can describe body condition, strength, weakness, health
level and the changes that occurs in someone body based on scientific method
Image processing represent a technique or method able to be used
process picture of image by away of manipulation become picture data wanted get
certain information. Image object to be tested is image of format grayscale and
representation 8 bit grayscale level with ekstension BMP
Combination from iridology and digital image processing in one
computerized sytem iridolgy unity will yield the objective classification and can
easier the work from a iridologist
Result of research with Tehnic Digital Image Processing have succeedeed
to recognize examination data with accuracy percentage equal to 82.66% and
mistake percentage 17.34%