Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications
focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation.
Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications
is ideal for researchers and post graduate students developing systems and tools for health-care systems.