摘要
物体的形状识别是模式识别的重要方向,广泛应用于图像分析、机器视觉和目标识别等领域.目前,对形状识别的主要方法有傅里叶描述子、主分量分析等.对傅里叶描述子、主分量分析方法进行了详细阐述,通过对仿真得到的数据分析比较,验证了主分量分析法和傅里叶描述子方法对形状识别具有比较好的效果.
Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination. At present the main methods for shape recognition are Fourier descriptors, principal components analysis, etc. We make research on the two methods in this paper. Computer simulation results show that principal components analysis and Fourier descriptors have satisfied effects in shape recognition.
出处
《合肥学院学报（自然科学版）》
2006年第1期68-70,97,共4页
Journal of Hefei University :Natural Sciences
关键词
形状识别
傅里叶描述子
主分量分析法
图像分析
shape recognition
fourier descriptors
principal components analysis （PCA）
image analysis
