DETEKSI KONDISI USUS BESAR MELALUI IRITASI MATA MENGGUNAKAN TEKNIK PENGOLAHAN CITRA DIGITAL
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Institusion
Universitas Komputer Indonesia
Author
Budi Hartono, Alan
Subject
2007
Datestamp
2016-11-16 07:47:27
Abstract :
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%
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%
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