Andere Kunden interessierten sich auch für
![Image Tamper Detection using Reversible Watermarking]( "Image Tamper Detection using Reversible Watermarking")
Image Tamper Detection using Reversible Watermarking33,99 €![Brain tumor detection using digital image processing]( "Brain tumor detection using digital image processing")
Brain tumor detection using digital image processing41,99 €![Defining an Effective Security Policy for Companies using Cloud Compt.]( "Defining an Effective Security Policy for Companies using Cloud Compt.")
Defining an Effective Security Policy for Companies using Cloud Compt.16,99 €![Efficient Video Data mining Retrieval using Clustering Algorithm]( "Efficient Video Data mining Retrieval using Clustering Algorithm")
Efficient Video Data mining Retrieval using Clustering Algorithm24,99 €![Image Blur Type Identification using Pattern Classification Approaches]( "Image Blur Type Identification using Pattern Classification Approaches")
Image Blur Type Identification using Pattern Classification Approaches24,99 €![Physically Disabled People & Technology: Using Social Media]( "Physically Disabled People & Technology: Using Social Media")
Physically Disabled People & Technology: Using Social Media24,99 €![Segmentation 3D Light Field Imaging for Object Detection]( "Segmentation 3D Light Field Imaging for Object Detection")
Segmentation 3D Light Field Imaging for Object Detection41,99 €
Leukemia (blood cancer) begins in the bone marrow and causes the formation of a large number of abnormal cells. The most common types of leukemia known are Acute lymphoblastic leukemia (ALL), Acute myeloid leukemia (AML), Chronic lym- phocytic leukemia (CLL) and Chronic myeloid leukemia (CML). This thesis makes an e¿ort to devise a methodology for the detection of Leukemia using image process- ing techniques, thus automating the detection process. The data set used comprises of 220 blood smear images of leukemic and non leukemic patients. The Image segmentation algorithms that have been used are k means clustering algorithm, Marker controlled watershed algorithm and HSV color based segmentation algorithm. The morphological components of normal and Leukemic lymphocytes di¿er significantly; hence various features have been extracted from the segmented lymphocyte images. The leukemia is further classified into its types and sub types by making use of the SVM classifier, which is a Machine Learning classifier.