The Leukemia Healthy and Unhealthy Detection with Wavelet Transform Based On Co-Occurrence Matrix and Support Vector Machine

Leukemia is a malignant disease and belongs in broader sense to Cancers. There are many types of leukemia, each which requires specific treatment. almost one-third all cancer deaths children young people. The most common type leukemia acute lymphoblastic (ALL). In this paper, new approach implanted on ALL database. For the method wavelet transform used for feature extraction, gray level co-occurrence matrix used. Also, classification, SVM (Support Vector Machine) proposed best applying system designed Local Binary Pattern (LBP) Histogram Orientation (HOG) methods. This aims detect, diagnose, verify cells from microscopic images get high accuracy, efficiency, reliability, less processing time, smaller error, not complexity, fast, easy work. was built using by examining changes texture, colors, statistical analysis. success rate 96.1667% data 99.8833% non-cancer data.