为了对多目标图像进行有效分割,使用灰色关联分析来衡量像素点间的相似性,并将normalized cut准则推导为双阈值分割准则,最后使用粒子群算法优化该准则,得出最佳的分割阈值。实验表明该方法计算速度快,能有效分割多目标图像。
In order to deal with multi-object image effectively,the paper used grey relation grade to measure the similarity between different pixels,and transformed the normalized cut criterion into the dual-threshold segmentation criterion,then optimized the criterion using particle swarm optimization algorithm to get the best thresholds.Experiments show that the method has less segmenting time and can segment the multi-object image accurately.