Abstrato

An Algorithm to Detect Kayser-Fleischer Ring in Human Eye for Diagnosing Wilson Disease

S.Tharageshwari, D.Sasikala

An eye image is segmented by JSEG (J measure based segmentation) algorithm without the manual parameter adjustment and simplifies texture and color for detecting the Kayser-Fleischer ring in diagnosing Wilson Disease. Segmentation with this algorithm passes through two major stages, namely color quantization and spatial segmentation as first stage and region growing and region merging as secondary stage. The biometric measurement provides information on the percentage of the extent of the cornea tissue affected from the copper accumulation. This algorithm detects the presence of symptoms reducing occurrence of false-negative diagnoses and improves accuracy of actual methods used in practice like slit lamp method. The described techniques reduces possible interpretation errors and assists doctor to diagnose the pathology.