Image processing with MATLAB: applications in medicine and biology. Musa H. Asyali, Omer Demirkaya, Prasanna K. Sahoo
Image.processing.with.MATLAB.applications.in.medicine.and.biology.pdf
ISBN: 0849392462,9780849392467 | 444 pages | 12 Mb
Image processing with MATLAB: applications in medicine and biology Musa H. Asyali, Omer Demirkaya, Prasanna K. Sahoo
Publisher: CRC Press
These nineteenth chapters present methodological advances and recent applications of digital signal processing in various domains as communications, filtering, medicine, astronomy, and image processing. In this project, the student will try out different image processing and analysis techniques to sort out a particular tissue type (for example- bone) from it's surrounding. The wide range of applications in which MATLAB is the working framework, shows that it is a powerful, comprehensive and easy-to-use environment for performing technical computations. The authors provide eleven large and detailed projects which take the reader through the essentials of signal processing applications. Picture Processing with MATLAB®: Apps in Medicine and Biology describes complex, concept-laden matters in image processing by way of examples and MATLAB® algorithms. The knowledge you gain in the end is not limited to tissue segmentation only. Pr-requisites: Basic Programming Knowledge (MATLAB/C++/LabView etc.) Work Plan. Included are MATLAB codes which are fully commented on for developing working proofs of concepts. Click on The second section deals with AR in medical, biological, and human bodies. Image Processing with MATLAB: Applications in Medicine and Biology (MATLAB Examples). It is a project that is both fun and important. Sahoo 2008 CRC Press ISBN10:0849392462;ISBN13:9780849392467. This project, in particular, will look into the medical applications. Image processing with MATLAB: Applications in medicine and biology MATLAB Examples Omer Demirkaya, Musa H. This is the first text that provides a balanced treatment of image processing fundamentals and an introduction to software principles used in the practical application of image processing.