SEGMENTASI CITRA SEL DARAH PUTIH MENGGUNAKAN HSV SATURATION DAN OPERASI MORFOLOGI (Studi Kasus: RS. Wijaya Kusuma Purwokerto)

Blood is an important part of the human body, in addition to being a part of the human body, blood can also be a reference to detect a disease. Methods of examination of diseases in hospitals using a microscope and Hematology Analyzer. The use of a microscope that is rated error rate (human error) is quite high. While Hematology Analyzer is an automatic and accurate calculation tool but has an expensive price. The purpose of this study is to develop an innovative approach to segmenting and counting leukocytes by utilizing the Saturation Component in the HSV color model to further enhance microscopic blood images based on Digital Image Processing. Data collection methods used are, literature study, observation, primary data, interviews, and documentation. This study uses image processing from RGB images to HSV images, which then takes the Saturation component, then threshold it into a binary image. The binary image is then eliminated by noise using morphological operations, namely erosion and dilation, and then the final output of the image will be calculated automatically. Testing is done using the Black Box, User Acceptance Test (UAT). The results of this study are the application of white blood cell counting can count with an accuracy level of 98.04% and use an average time of 0.056456 seconds