关键词: 电容层析成像, 支持向量机, 轮换对称, 选择分块, 现场可编程门阵列

Abstract: According to Support Vector Machine（SVM） has low accuracy and low training speed to deal with large scale data in ECT system, a new algorithm that combined SVM with the Rotation Symmetric Partition（RSPSVM） is presented. Model of ECT system is partitioned into equal area units with rotation symmetry, sensitivities of all units in the same layer can be obtained through one unit. Sample matrix is segmented selectively into smaller sample matrixes for training, and RSPSVM algorithm is implemented with FPGA hardware. Experimental results show that the algorithm implemented with FPGA hardware can not only improve classification accuracy of reconstruction image, but also have a shorter time in imaging.

Key words: electrical capacitance tomography, support vector machine, rotation symmetry, choice and segmentation, field programmable gate array