摘要
Abstract
In view of the current large number of intelligent recognition systems,it is usually necessary to achieve some specif?ic intelligent control and pattern recognition through a certain mathematical algorithm,which makes the products have a high degree of intelligence. In this paper,a histogram equalization algorithm is proposed based on Fourier transform. Through the analysis of the principle of Fourier transform,it is clear that the role of Fourier transformin extracting the spectrum information of the image. Then the spectrum information of the image is studied,and the relationship between the image spectrum and the recognition feature is de?termined. Then,the method of histogram equalization is analyzed,and the realization method of image recognition based on histo?gram equalization is studied. Finally,the experimental results of the image feature recognition algorithm designed in this paper are analyzed,which shows that the feature recognition algorithm designed in this paper has a high recognition accuracy.关键词
图像特征识别/傅里叶变换/频谱图/直方图均衡化/模式识别Key words
image feature recognition/fourier transform/spectrum map/histogram equalization/pattern recognition分类
矿业与冶金
