Urine Crystals Classification Using Image Matching Method

Abstract

The Crystalline Salts classification is important for the diagnosis of pebbles in human kidneys. The aim of this study, classified and diagnosed the Urine crystals by using a computer program. In this study, 128 samples, these samples consist of monocrystalline oxalate crystals, ammonium chlorate crystals and cysteine crystals. The sixty samples of crystal crystals were collected to have twenty for each of the types of crystals mentioned above. They were later classified into different groups depending on the difference in form and size. The method of matching image was applied to obtain the results of classification of crystals management which reached 98%.