Knowledge-based direct 3-D texture segmentation system for confocal microscopic images

Zhengping Lang; Zhen Zhang; Randell E. Scarberry; Weimin Shao; Xu-Mei Sun

doi:10.1117/12.45521

1 March 1991 Knowledge-based direct 3-D texture segmentation system for confocal microscopic images

Zhengping Lang, Zhen Zhang, Randell E. Scarberry, Weimin Shao, Xu-Mei Sun

Proceedings Volume 1468, Applications of Artificial Intelligence IX; (1991) https://doi.org/10.1117/12.45521
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

In this paper, we present a knowledge-based texture segmentation system for the identification of 3D structures in biomedical images. The segmentation is guided by in Iterative Octree Expansion and (leaf node) Linking control algorithm. The segmentation is performed directly in 3D space which is contrary to that done in common approaches where 3D structures are reconstructed from results of 2D segmentation of a sequence of consecutive, cross-sectional images. Test result of a prototype of this system on real data confocal scanning fluorescence microscopic images of a developing chick embryo heart is reported.

Citation Download Citation

Zhengping Lang, Zhen Zhang, Randell E. Scarberry, Weimin Shao, and Xu-Mei Sun "Knowledge-based direct 3-D texture segmentation system for confocal microscopic images", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45521

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