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Image processing and mathematical morphology in new text by NJIT professor
Date:4/6/2009

n Analysis and Machine Intelligence (PAMI), a publication of the Institute of Electrical and Electronics Engineers (IEEE), was a breakthrough to solve the bottleneck problem in grayscale morphological processing. Several other articles by him in Image Processing and Signal Processing, also IEEE publications, were innovations to achieve fast exact Euclidean distance transformation and to conduct robust image enhancement, edge linking, and image segmentation.

"The development of digital multimedia, the importance and impact of image processing and mathematical morphology are well-documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition," added Shih.

"Individuals working in these ever-evolving fields require a solid grasp of basic fundamentals, theory, and related applications. Few books can provide the unique tools for learning contained in this text."

Shih received his doctorate in electrical and computer engineering from Purdue University; he has published 100 journal papers, 95 conference papers, 2 books, and 10 book chapters. He's on the editorial board of nine international journals in this field including the International Journal of Pattern Recognition; International Journal of Pattern Recognition Letters; International Journal of Pattern Recognition and Artificial Intelligence and Journal of Information Hiding and Multimedia Signal Processing.

Shih received the Research Initiation Award from the National Science Foundation (NSF) and has received numerous grants from NSF, U.S. Navy and Air Force and industry.


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Contact: Sheryl Weinstein
sheryl.m.weinstein@njit.edu
973-596-3436
New Jersey Institute of Technology
Source:Eurekalert

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