Abstract: In order to solve the difficulty of determining the growth rules in conventional regional growth algorithm and the slowly of support vector machine segmentation algorithm, an image segmentation method combined support vector machine and regional growth was proposed. Firstly, selected a certain numbers of sample point from target area and nontarget area and trained the support vector machine classification,then used the trained classification search seed point and regional growing, the support vector machine classification was used as growth rules, the last, some necessary retrogrossing were used for the edge and noise. IThe experimental results show that this algorithm is feasible and it performs better than conventional region growth segmentation algorithm and faster then conventional support vector machine segmentation algorithm.

Key words: Support vector machine, Regional growth, CT image, Parallel segment