摘要
根据遗传优化原理提取图像分割阈值,虽然减少图像目标大小和噪声的影响,算法简单、稳定性强,但是图像目标识别的速度和精确度一直是人们关注的首要问题,没有得到很好的解决 笔者提出了一种基于遗传优化阈值选取加速算法 实验结果表明。
The image recognition is a key technique in image processings, while the accuracy and speed of image target recognition are not satisfying until now. We present a new image selection speeding method based on genetic algorithms optimizing principle. The experiments show that, comparing to traditional method, the new method saves 30% calculation time.
出处
《江苏大学学报（自然科学版）》
EI
CAS
2003年第3期5-9,共5页
Journal of Jiangsu University：Natural Science Edition
基金
兵器工业部基金资助项目
