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The Finite Element Method using MATLAB Hyochoong Bang, Young W. Kwon
Publisher: CRC-Press

DIGITAL IMAGE PROCESSING: A digital image contains finite number of elements. Images are stored as two dimensional array or matrices where each element of matrix determines a single pixel in displayed image. Jin's research focuses on computational mechanics on high performance composites, modeling and finite element analysis. Before matriculating at USC, Jin was a research assistant, Currently, Jin teaches the following courses: Mechanical Engineering Computational Analysis and Design with Numerical Methods (Advanced MATLAB), Engineering Computing with MATLAB, and Engineering Mechanics Statics. The description of the method is presented in such a way as to be usable in any domain of application. I did my Master's Degree in Heat Transfer and Design Optimization, and the tools I learned through that included finite element methods for structural, thermal, and fluid flow analysis, as well as the mathematical underpinnings of those methods and the numerical implementation. FEM1D_ADAPTIVE is a MATLAB program which applies the finite element method to a linear two point boundary value problem in a 1D region, using adaptive refinement to improve the solution. This book offers an in-depth presentation of the finite element method, aimed at engineers, students and researchers in applied sciences. When you get into the realm of hundreds or thousands of elements, there are much better ways to do it, which computational packages like MATLAB take full advantage of. The analysis of an image depends on vision and image processing. MATLAB suits better in representing the images. Each element has its location and a value and elements are called as pixels. Image plays an important role in human life.