Blood vessel segmentation from the retinal image is useful in detecting ocular disorders and laser surgery, the work done till the date for segmentation of blood vessels are satisfactory in some cases, still leave room for improvement, especially in abnormal retinal images. Clustering and pattern

research. While we have mainly targeted the extraction of blood vessels, neurosvascular structure in particular, we have also reviewed some of the segmentation methods for the tubular objects that show similar characteristics to vessels. We have divided vessel segmentation algorithms and techniques

A penetrating analysis of our technical civilization and of the effect of an increasingly standardized culture on the future of man

Abstract—This paper presents a method for the extraction of blood vessels from fundus images. The proposed method is an unsupervised learning method which can automatically segment retinal blood vessels based on an adaptive random sampling algorithm. This algorithm consists in taking an adequate

WHO monographs on medicinal plants

Abstract — Artificial Bee Colony (ABC) algorithm is very interesting population based swarm optimization technique. This technique is motivated by means of extraordinary nature of honey bees. ABC algorithm commonly used to get to the bottom of nonlinear and complex problems. Comparable to other

I would like to thank Dr. Rogers, my dissertation advisor, for giving me guidance, support and assistance during my Ph.D. study. I also would like to thank my committee members, Dr. Liles, Dr. Kim and Dr. Baker for their times and suggestions. No words can describe my gratitude to my parents, Boonruam and Suthat Yimsiri for supporting, encouraging and raising me up. I would also like to thank my wife, Oh, and my daughter, Minmin, for love and support in both good and bad times during this long Ph.D. journey. This dissertation would not have been completed without their supports and sacrifices. I would like to express my gratitude to my parent-in-laws, grandmother-in-law, aunt Hua and uncle Kao for their assistance, and my two brothers for their advice. Thanks to Jo An Weddle at Small Business Development Center (SBDC) for Enterprise Excellence who gave me advice, support and invaluable work experiences through graduate research assistantship. She will always be in my memory. To all other people that their names are not mentioned here who contribute to this graduate study; I would like to thank them all.

Language modeling is the attempt to characterize, capture and exploit regularities in natural language. In statistical language modeling, large amounts of text are used to automatically determine the model's parameters. Language modeling is useful in automatic speech recognition, machine

Ridge-branch-based blood vessel detection algorithm for multimodal retinal images

This paper proposes a research direction to study the development of `artificial social intelligence' of autonomous robots which should result in `individualized robot societies'. The approach is highly inspired by the `social intelligence hypothesis', derived from the investigation