This chapter presents a comparative study of texture classification in computed tomography images of the human lungs. Popular texture descriptors used in the medical image analysis literature for texture-based emphysema classification are described and evaluated within the same classification framework. Further, it is investigated whether combining the different descriptors is beneficial.

Over the last decade, several studies on texture analysis propose to model texture as a probabilistic process that generates small texture patches. In these studies, texture is represented by means of a frequency histogram that measures how often texture patches from a codebook occur in the texture. In the codebook, the texture patches are represented by, e.g., a collection of filter bank respo...

Texture can be observed in many natural and synthetic images from multispectral satellite images to the microscopic images of cell or tissue samples. Texture is an innate property of virtually all surfaces, the grain of wood, the weave of fabric, the pattern of crop in fields etc It contains important information about the structural arrangement of surfaces and their relationship to the surroun...