The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and atricks of the tradea. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.A malignancy-influenced cell looks too much like a normal cell when it is slightly out of focus or poorly segmented. ... system, but with equal ease we could have constructed the rest, using any of the neural network toolboxes that exist for MATLAB. ... Though it is not always trivial to translate MATLAB code to C, MATLAB code that uses DIPimage has a big advantage: most of the image processing andanbsp;...
|Title||:||Medical Image Processing|
|Publisher||:||Springer Science & Business Media - 2011-07-25|