Advanced Image Acquisition, Processing Techniques and Applications

Издательство InTech, 2012, -178 pp.This book presents a wide range of applications on image processing that fits areas of engineers such as acquisition, sensing, optimization, medicine, biomedicine, materials, agriculture and text image processing. It is suggested to students, scientists and researchers in the field. Its most important feature is the way the authors allow newcomers with a little background in mathematics to go through all the topics presented without getting lost or discouraged to actually understand image acquisition, enhancement, restoration, preparation, and compression. The mathematical principles are clearly explained by the authors. Another nice distinctive characteristic of the book is the detailed explanation on practical issues and fully developed applications that allow the reader to thoroughly understand how to solve problems professionally and how to implement standard and advanced image processing algorithms.
The book covers many topics that one expects to find in a modern image application book such as a coded structured light projection method for high-frame-rate 3D image acquisition, high density devices applied to a gamma-camera implementation, adipose measurement using micro MRI, image processing quality analysis for particle based peptide array production on a micro chip, digital restoration by denoising and binarization of historical manuscripts images, applications of image processing technique in porous material characterization, accurate spectral measurements and color infrared imagery of excised leaves exhibiting Gaussian curvature from healthy and stressed plants and a comparative study of some Markov random fields and different criteria optimization in image restoration.
The various algorithms suggested in the book, are a valuable tool for experimenting and helping the reader to grasp the secrets associated with the advanced image processing techniques and algorithms. This book fits the needs of image acquisition and applications engineers to many application fields.A Coded Structured Light Projection Method for High-Frame-Rate 3D Image Acquisition
High Density Devices Applied to a Gamma-Camera Implementation
Adipose Measurement Using Micro MRI
Image Processing Quality Analysis for Particle Based Peptide Array Production on a Microchip
Digital Restoration by Denoising and Binarization of Historical Manuscripts Images
Applications of Image Processing Technique in Porous Material Characterization
Accurate Spectral Measurements and Color Infrared Imagery of Excised Leaves Exhibiting Gaussian Curvature from Healthy and Stressed Plants
A Comparative Study of Some Markov Random Fields and Different Criteria Optimization in Image Restoration