摘要
随着计算机和人工智能技术的发展,模式识别在图像处理中的应用日益广泛。综述了模式识别在图像处理中特征提取、主要的识别方法(统计决策法、句法识别、模糊识别、神经网络)及其存在的问题,并且对近年来模式识别的新进展———支持向量机与仿生模式识别做了分析和总结,最后讨论了模式识别亟待解决的问题并对其发展进行了展望。
With the development of computer and artificial intelligence,pattern recognition is widely used in the image processing increasingly.The feature extraction and the main methods of pattern recognition in the image processing,which include statistical decision,structural method,fuzzy method,artificial neural network are summarized.The support vector and bionic pattern recognition which are the new developments of the pattern recognition are also analyzed.At last,the problems to be solved and development trends are discussed.
出处
《测控技术》
CSCD
2004年第5期28-32,共5页
Measurement & Control Technology
基金
国家自然科学基金资助项目(60301003
60227101)
关键词
模式识别
图像处理
特征提取
识别方法
pattern recognition
image processing
feature extraction
recognition methods
