摘要
人工智能是当前研究的一个热门话题,本文将Rough集理论应用到图像智能增强预处理中,从利用原有特征集表达知识图像的方法出发,选出对于分类最有效的特征,并给出重要的相关特征的不同组合,从而实现系统特征选择。不但为肿瘤图像信息解译和认知科学提供了研究方法,而且为实现图像的智能化处理指出了一个有效的途径。
The artificial intelligence is a hot topic with studying,in this paper the theories of Rough Sethas been applied to the image intelligence strengthens preprocess,from making use of the original characteristic to gather the expression knowledge image possessed to set out,select for the most valid characteristicin classification,and give the combination of the important and related characteristic,realized systemcharacteristic choice.Not only provided the research method for the tumor image information translation and perception science, but also gave a valid approach for image intelligence preprocess..
出处
《科技广场》
2008年第1期129-130,共2页
Science Mosaic
关键词
粗糙集
算法
图像预处理
Rough Sets
Algorithm
Image preprocess
