基于粗糙集和小波的遗传算法图像分割

GA Image Segmentation Based on Rough Set and Wavelet

粗糙集理论是一种新的处理模糊和不确定问题的数学工具,小波分析具有良好的时频局部化特性,遗传算法是一种借鉴生物界自然选择和自然遗传机制的随机搜索算法.提出了一种基于粗糙集去噪和小波细节增强,利用遗传算法进行图像分割的方法.实验结果表明,方法十分有效.

Rough set theory is a new issue of dealing with vague and uncertain mathematical tool,wavelet analysis has a good time-frequency localization characteristics,genetic algorithm is a reference biosphere and the natural genetic mechanism of natural selection,random search algorithm.This paper presents a denoising-enhanced image segmentation method based on rough sets and wavelet and genetic algorithm.The experimental results show that this method is very effective.