Feature extraction of brain CT image based on target shape

Authors:
Chen Jia-Lin;He Hua-Can;Liu Cheng-Xia
Affiliations:
School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing;School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing;School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

According to grayscale changing characteristics of the brain CT, this paper improves region growth algorithm on the basis of in-depth analysis of brain CT image. In order to get the best combination of the features, the algorithm that extracts the shape feature considering the adjacent parts is proposed based on the idea of chart transferring tree in the tree structure comprehensively. Compared with the traditional extracting algorithms which aim at the whole picture or a single part, the experiments show that the proposed algorithm can obtain a higher diagnostic accuracy.