The traditional?procedure?of classification?of blood cells?using?a microscope?in the laboratory of hematology?to?obtain information?types of?blood cells.?It has become?a cornerstone?in the laboratory of?hematology?to diagnose?and monitor hematologic disorders.?However,?the manual procedure through a series of labory test can take a while. Thresfore, this research can be helpful in the early stages of the classification of white blood cells automatically in the medical field. Efforts to overcome?the length of time?and for the purposes of?early?diagnose?can use the?image processing?technique?based on?morphology?of blood cells.?This research?aims to?classify the?white blood cells?based on?cell morphology?with the k-nearest neighbor (knn). Image processing?algorithms used hough?circle, thresholding, feature extraction, then?to?the process of?classification was used?the method?of k-nearest?neighbor?(knn). In?the process of?testing?used?100?images?to be?aware of?its kind.?The test results?showed?segmentation accuracy?of?78% and testing?the classification of 64%.
展开▼
