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MATLAB and Simulink Based Books - New Textbooks on Clean Energy and Image Processing

Clean Energy

Clean energy technologies such as wind turbines, solar arrays, and fuel cells are playing an increasingly important role in energy production. Engineers develop advanced mathematical models and simulations to analyze complex systems based on these technologies in a time-efficient, safe, repeatable environment. Recent textbooks that support these developments include:

Integration of Green and Renewable Energy in Electric Power Systems

Integration of Green and Renewable Energy in Electric Power Systems

By Ali Keyhani, Ohio State University, and Mogammad N. Marwali and Min Dai, Emerson Network Power
John Wiley & Sons, Inc.

The Dynamics of Energy: Supply,  Conversion, and Utilization

The Dynamics of Energy: Supply, Conversion, and Utilization

By Horacio Perez-Blanco, Penn State University
CRC Press, Inc.

Energy Systems Engineering: Evaluation and Implementation

Energy Systems Engineering: Evaluation and Implementation

By Francis Vanek and Louis D. Albright, Cornell University
McGraw-Hill

Modeling and Control of Fuel Cells:  Distributed Generation Applications

Modeling and Control of Fuel Cells: Distributed Generation Applications

By M. Hashem Nehrir, Montana State University, and Caisheng Wang, Wayne State University
Wiley-IEEE Press

PEM Fuel Cell Modeling and Simulation Using MATLAB

PEM Fuel Cell Modeling and Simulation Using MATLAB

By Colleen Spiegel, Clean Fuel Cell Energy LLC
Academic Press

Image Processing: Morphological Reconstruction

Morphological reconstruction is a useful but little-known method for extracting meaningful information about shapes in an image. The shapes could be just about anything: letters in a scanned text document, fluorescently stained cell nuclei, or galaxies in a far-infrared telescope image. You can use morphological reconstruction to extract marked objects, find bright regions surrounded by dark pixels, detect or remove objects touching the image border, detect or fill in object holes, filter out spurious high or low points, and perform many other operations.

Morphological reconstruction processes one image, called the marker, based on the characteristics of another image, called the mask. The high points, or peaks, in the marker image specify where processing begins. The peaks spread out, or dilate, while being forced to fit within the mask image.

Digital Image Processing Using MATLAB

This excerpt from Digital Image Processing Using MATLAB defines morphological reconstruction, illustrates some useful manipulations of binary images, and shows how you can use functions in Image Processing Toolbox™ to quickly perform these manipulations.


Digital Image Processing Using MATLAB, 2e

By Rafael C. Gonzalez, University of Tennessee, Knoxville; Richard E. Woods, MedData Interactive; and Steven L. Eddins, MathWorks
Gatesmark Publishing

Published 2010

Energy Production Solutions

  • Wind power
  • Solar power
  • Electric utilities
  • Oil, gas, and petrochemical
  • Energy trading

Image and Video Processing

Acquire, process, and analyze images and video for algorithm development and system design