Title :
Automatically registering stereo pairs of tomographic imagery
Author :
Wiener, Strphen M. ; Dunn, Stanley M.
Author_Institution :
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
Abstract :
A method for finding correspondences between points on a stero pair of 2-D electron micrographs of networks is developed. The objective for finding these matches is to combine stereo images of the same specimen to generate a 3-D representation. To perform the analysis, the gray level images of the micrographs are first binarized and thinned, and the network intersection points are detected. An algorithm which uses a geometric hashing scheme is then applied to detect corresponding points in the images. This algorithm is invariant to rotation, translation, and scale. The system has been tested on images of skeletal muscle tissue tubule networks
Keywords :
biological techniques; computerised tomography; image matching; image reconstruction; medical image processing; muscle; stereo image processing; transmission electron microscopy; 2-D electron micrographs; 3-D representation; algorithm; automatic registration; geometric hashing scheme; gray level images; network intersection points; network of interconnecting tubules; skeletal muscle tissue tubule networks; stereo pairs; tomographic imagery; Biological tissues; Electrons; Image segmentation; Layout; Microscopy; Performance analysis; System testing; Tomography; Utility programs; Voltage;
Conference_Titel :
Bioengineering Conference, 1993., Proceedings of the 1993 IEEE Nineteenth Annual Northeast
Conference_Location :
Newark, NJ
Print_ISBN :
0-7803-0925-1
DOI :
10.1109/NEBC.1993.404369
