31-08-2012, 05:01 PM
Classification of liver images using support vector machine.
Classification of liver images.docx (Size: 10.45 KB / Downloads: 33)
Abstract
Medical image classification plays an important role in medical research field. Classification depends on the features extracted from the images. We mainly concentrating on feature extraction stage to yield better classification performance. Texture based features such as GLCM (Gray Level Co-occurrence Matrix)features play an important role in medical image analysis. To select the discriminative features among them we use PSO selection algorithm. Afterwards we prefer Support vector Machine (SVM) for the classification stage. Classifier performance will be analysed further.