Embedded Image Processing on the TMS320C6000™ DSP Examples in Code Composer Studio™ and MATLAB
by
 
Qureshi, Shehrzad. author.

Title
Embedded Image Processing on the TMS320C6000™ DSP Examples in Code Composer Studio™ and MATLAB

Author
Qureshi, Shehrzad. author.

ISBN
9780387252810

Personal Author
Qureshi, Shehrzad. author.

Physical Description
XVII, 433 p. online resource.

Contents
Introduction -- Tools -- Spatial Processing Techniques -- Image Filtering -- Edge Detection and Segmentation -- Wavelets -- Appendix A Putting it together: a streaming video application -- Appendix B Code Optimization.

Abstract
Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB focuses on efficient implementations of advanced image processing algorithms for resource-constrained embedded DSP systems. Featuring the popular Texas Instruments TMS320C6000TM line of Digital Signal Processors, it utilizes a proven methodology of beginning with a high-level algorithmic point-of-view, proceeding to develop prototype code in MATLAB and Visual Studio, and concluding with an efficient implementation suitable for deployment on an embedded DSP system. Aside from image processing, the author also explains the uses and rationale behind a plethora of technologies, most notably several industry-standard and essential TI developer technologies, including the Code Composer Studio™ IDE. Highlights include numerous debugged MATLAB and C/C++ Visual Studio prototype applications and efficient C implementations of real-world algorithms tested on both the C6416 DSK and C6701 EVM development platforms. Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB is an essential book for professional signal & image processing engineers working with TI DSPs where real-time constraints are present and performance is at a premium. Imaging software developers and DSP users will also find this book applicable, as it covers a variety of image and signal processing building blocks that appear in a diverse set of real-world applications, including medical imaging, satellite imaging, digital photography, and pattern recognition, to name a few. It may also serve as a reference work for advanced image processing, computer vision, and DSP students working in labs that use TI development kits or MATLAB.

Subject Term
Engineering.
 
Computer vision.
 
Optical pattern recognition.
 
Telecommunication.
 
Signal, Image and Speech Processing.
 
Image Processing and Computer Vision.
 
Pattern Recognition.
 
Computer Imaging, Vision, Pattern Recognition and Graphics.
 
Communications Engineering, Networks.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
http://dx.doi.org/10.1007/b107069


LibraryMaterial TypeItem BarcodeShelf NumberStatus
IYTE LibraryE-Book504378-1001TK5102.9Online Springer