基于PCA的少数民族服饰识别算法设计与实现

Minority Costumes Recognition Algorithm Design and Implementation Based on PCA

少数民族服饰图像识别有助于人们了解、认识、弘扬和传承民族文化。以少数民族服饰图像为研究对象,完成了图像增强,阈值分割,利用PCA方法提取少数民族服饰图像主成分特征,按照欧式距离取最小的原则得出图像的匹配度,实现了民族服饰图像的识别。实验结果表明,该算法平均正确识别率为64%左右。

Ethnic minoritiescostumes image recognition helps people to know andunderstand the national culture, contributes to carry forward and inherit the national culture. In this paper, Based on ethnic minoritiescostumes image, this papercompletes the image enhancement, threshold segmentation, and employs PCA method to extract minority clothing image principal component characteristics, then obtains the matching degree of the imageaccording to the principle of minimum among the Euclidean Distance, implements the national costumes image recognition.The experimental results show that the algorithm has an average correct recognition rate about 64%.