ATI's Signal & Image Processing And Analysis For Scientists And Engineers Short Course

     

Introduction. Basic Descriptions, Terminology, and Concepts Related to Signals, Imaging, and Processing for science and engineering. Analog and Digital. Data acquisition concepts. Sampling and Quantization.

 

Signal Processing. Basic operations, Frequency-domain filtering, Wavelet filtering, Wavelet Decomposition and Reconstruction, Signal Deconvolution, Joint Time-Frequency Processing, Curve Fitting.

 

Signal Analysis. Signal Parameter Extraction, Peak Detection, Signal Statistics, Joint Time – Frequency Analysis, Acoustic Emission analysis, Curve Fitting Parameter Extraction

 

Image Processing. Basic and Advanced Methods, Spatial frequency Filtering, Wavelet filtering, lookup tables, Kernel convolution/filtering (e.g. Sobel, Gradient, Median), Directional Filtering, Image Deconvolution, Wavelet Decomposition and Reconstruction, Thresholding, Colorization, Morphological Operations, Segmentation, B-scan display, Phased Array Display.

 

Image Analysis. Region-of-interest Analysis, Line profiles, Feature Selection and Measurement, Image Math, Logical Operators, Masks, Particle analysis, Image Series Reduction including Images Averaging, Principal Component Analysis, Derivative Images, Multi-surface Rendering, B-scan Analysis, Phased Array Analysis.

 

Integrated Signal and Image Processing and Analysis Software and algorithm strategies. The instructor will draw on his extensive experience to demonstrate how these methods can be combined and utilized in a post-processing software package. Software strategies including code and interface design concepts for versatile signal and image processing and analysis software development will be provided. These strategies are applicable for any language including LabVIEW, MATLAB, and IDL. Practical considerations and approaches will be emphasized.

• Terminology, definitions, and concepts related to basic and advanced signal and image processing
• Conceptual examples
• Case histories where these methods have proven applicable
• Methods are exhibited using live computerized demonstrations
• All of this will allow a better understanding of how and when to apply processing methods in practice

Whether working in the scientific, medical, or security field, signal and image processing and analysis play a critical role. This three-day course is designed is designed for engineers, scientists, technicians, implementers, and managers in those fields who need to understand basic and advanced methods of signal and image processing and analysis techniques. The course provides a jump start for utilizing these methods in any application. Read Recent Student Testimonials

Instructor:

Dr. Donald J. Roth is the Nondestructive Evaluation (NDE) Team Lead at NASA Glenn Research Center as well as a senior research engineer and consultant with 27 years of experience in NDE, measurement and imaging sciences, and software design. His primary areas of expertise over his career include research and development in the imaging modalities of ultrasound, infrared, x-ray, computed tomography, and terahertz. He has been heavily involved in the development of software for custom data and control systems, and for signal and image processing software systems. Dr. Roth holds the degree of Ph.D. in Materials Science from the Case Western Reserve University and has published over 100 articles, presentations, book chapters, and software products. See his profile at:http://www.linkedin.com/pub/don-j-roth/13/270/944.

Contact this instructor (please mention course name in the subject line)

What You Will Learn:

From this course you will obtain the knowledge and ability to perform basic and advanced signal and image processing and analysis that can be applied to many signal and image acquisition scenarios in order to improve and analyze signal and image data.

Course Outline:

Summary: