摘要
以区域一致性、区域对比度和形状测量参数为评价准则,对基于遗传算法的最佳熵阈值分割方法与传统的几种全局阈值分割方法进行了对比研究.结果表明:基于遗传算法的图像分割,得到的图像目标清晰,分割效果较优,有一定的应用前景.
The genetic algrithm based optimal entropic is compared with the traditional methods by the evaluate rules of region consistency and region contrast and shape measurement.The experiment results show that the quality of the segmention based on genetic algrithm is much better and the algrithm is practical.
出处
《西安工业学院学报》
2004年第1期32-35,共4页
Journal of Xi'an Institute of Technology
基金
陕西省教育厅产业化项目 (O2JC2 2 )
