Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification

The main goal of the paper is to count and classify white blood cells in microscopic images into five major categories using features such as shape, intensity and texture features using the Dual-Tree Complex Wavelet Transform (DT-CWT) which is based on multi-resolution characteristics of the image.