|Table of Contents|

Improved Method of Electrical Capacitance Tomography Based on
SVM Algorithm of Cyclic Symmetrical Partition
(PDF)

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

Issue:
2015年03期
Page:
40-044
Research Field:
计算机与控制工程
Publishing date:

Info

Title:
Improved Method of Electrical Capacitance Tomography Based on
SVM Algorithm of Cyclic Symmetrical Partition
Author(s):
LI Yan .DU Yong-bin .SONG Hai-fence.MAN Zhi-qian}.REN Xiang-h ua
(School of Computer Science and Technology,Harbin University of Science and Technology, Harbin 150080,China)
Keywords:
electrical capacitance tomographysupport vector machinecyclic symmetrychoice and segmentationimage reconstruction
PACS:
TP391 .4
DOI:
-
Abstract:
According to support vector machine(SVM)has low accuracy and low training speed to deal witharge scale sample matrix in ECT system,a new algorithm that combined SVM with the cyclic symmetrical partition(CSPSVM)is presented. By the cyclic symmetry of ECT system model,a large sample matrix is simplified according to a layer of the imaging unit,and segments block selectively into multiple smaller sample matrixes. Then theyare trained by SVM respectively,and the decision function obtained can be used to classify the prediction sample.Finally,all prediction units are combined for imaging. Experimental results show that the image reconstruction using CSPSVM algorithm has higher classification accuracy and shorter imaging time than using SVM alone.

References:

-

Memo

Memo:
-
Last Update: 2015-08-24