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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Accuracy Evaluation for Region Centroid-Based Registration of Fluorescent CLSM Imagery | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 82480 Pages 1-11 DOI 10.1155 ASP 2006 82480 Accuracy Evaluation for Region Centroid-Based Registration of Fluorescent CLSM Imagery Sang-Chul Lee 1 Peter Bajcsy 1 Amy Lin 2 and Robert Folberg2 1 The National Center for Supercomputing Applications University of Illinois at Urbana-Champaign Urbana IL 61801 USA 2 Department of Pathology The University of Illinois Cancer Center University of Illinois at Chicago Chicago IL 60607 USA Received 1 March 2005 Revised 30 September 2005 Accepted 16 November 2005 We present an accuracy evaluation of a semiautomatic registration technique for 3D volume reconstruction from fluorescent confocal laser scanning microscope CLSM imagery. The presented semiautomatic method is designed based on our observations that a an accurate point selection is much harder than an accurate region segment selection for a human b a centroid selection of any region is less accurate by a human than by a computer and c registration based on structural shape of a region rather than based on intensity-defined point is more robust to noise and to morphological deformation of features across stacks. We applied the method to image mosaicking and image alignment registration steps and evaluated its performance with 20 human subjects on CLSM images with stained blood vessels. Our experimental evaluation showed significant benefits of automation for 3D volume reconstruction in terms of achieved accuracy consistency of results and performance time. In addition the results indicate that the differences between registration accuracy obtained by experts and by novices disappear with the proposed semiautomatic registration technique while the absolute registration accuracy increases. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION The problem of 3D volume reconstruction can be found in multiple application domains such as medicine .
