Pei-Gee Ho

Dr. Pei-Gee Peter Ho was born in Hsinchu, Taiwan. He received his BSEE from National Cheng Kung University, Tainan, Taiwan in 1976. After two years military service, he worked two years in On-Line Power System Dispatch group of Taiwan Power Company. In 1981, he was awarded a research assistantship and obtained the MSEE degree from UMass Dartmouth. During the following 20 plus years he has worked in various electrical and computer engineering companies such as Wang Lab., Brooktrout Technology, Compugraphics, SystemSoft, Ennovate Networks, Quarry Technology, Lockheed Martin Inc. and was primarily associated with embedded computing systems, networking, and device driver developments. He received his Ph.D. degree in Electrical and Computer Engineering from UMass Dartmouth in January 2008. He is now working in the Digital Signal Processing Algorithm and Software Design group in Range and Engineering department of NUWC at Newport, Rhode Island USA.

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Latest work with IntechOpen by Pei-Gee Ho

It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this book such as level set, active contour, AR time series image modeling, Support Vector Machines, Pixon based image segmentations, region similarity metric based technique, statistical ANN and JSEG algorithm were written in details. This book brings together many different aspects of the current research on several fields associated to digital image segmentation. Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation. The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study.

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