摘要
阈值分割是图像分割中的一种常用的方法,传统的OTSU阈值化方法对信噪比较低的图像分割效果不理想,而二维最大类间方差法充分利用像素与领域的空间相关信息,能够产生较为满意的分割结果,但运算量大大增加,文中采用遗传算法,通过编码、选择、交叉、变异等操作对二维最大类间方差法进行了优化,试验结果表明,遗传算法可以大大提高运算速度,对算法的优化效果十分明显。
The selection of images binarization threshold is one of the critical technologies of the image segmentation.The traditional OTSU method can not obtain ideal result if the image has low signal-to-noise.The2D maximum be-tween-cluster variance method can performance well even on ground target with low SNR and low contrast.Genetic Al-gorithms was introduced in order to reduce the computation time and the storage space required.The result of experi-ment shows that Genetic Algorithms can improve greatly the performance of the methods.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第22期35-37,共3页
Computer Engineering and Applications
基金
航天创新基金(编号:2000CH0808)
