Technical Program

Paper Detail

Paper:	SU-AM-PS2.9
Session:	Optical Imaging and Analysis
Time:	Sunday, April 9, 10:50 - 12:10
Presentation:	Poster
Title:	Automatic Registration of Large Set of Microscopic Images Using High-Level Features
Authors:	Jeff Prescott; The Ohio State University
	Matthew Clary; The Ohio State University
	Gregory Wiet; The Ohio State University
	Tony Pan; The Ohio State University
	Kun Huang; The Ohio State University
Abstract:	In this paper, we present a novel method for automatic registration of large set of microscopic images by automatically match high-level region features via finding cyclic structures in a matching graph. The use of high-level features (e.g., regions, landmarks, objects) signifi- cantly reduced the computation and provides accurate initialization, which further allows fast convergence of the maximum mutual information algorithm. The scheme is a universal one as it works for other types of high-level features and the matching process is very computationally efficient. We have applied our method in 3-D reconstruction of a unique human cochlear sample and are also applying it to two other set of large microscopic images.

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