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.%针对当前众多的智能识别系统中,通常需要通过一定的数学算法来实现一些特定的智能控制和模式识别,使得研发出来的产品具备较高的智能化程度.论文提出了傅里叶变换下的直方图均衡化图像特征识别算法的研究.通过对傅里叶算法的原理进行分析,明确了傅里叶变换在提取图像频谱信息时的作用;然后对图像频谱信息进行研究,确定了图像频谱图与识别特征的关系;接着对直方图均衡化的方法进行了分析,研究了利用直方图均衡化对图像中特征进行识别的实现方法.最后,对论文所设计的图像特征识别算法进行了实验结果分析,表明了论文所设计的特征识别算法具有较高的识别准确率.
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