摘要
提出了一种新的综合颜色与纹理特征的图像模糊检索的方法。其主要思想是首先利用隶属度函数剔除与查询图像相关性较小的图像,然后再综合考虑图像的颜色和纹理特征,最终返回与查询图像相似度较大的部分图像。实验结果表明,综合颜色和纹理特征并采用隶属度函数的改进算法检索速度快,准确率较高。
This paper presents a new fuzzy image retrieval method,which is based on both color and texture features.The main idea is that the membership function is employed to remove a part of images which have little correlation with the inquiry image firstly,and then considering the color and texture features,the images would be obtained which have larger similarity with the inquery image.The experiment results show that the proposed method combining color features and texture features with the membership function has not only higher accuracy but also faster retrieval speed.
出处
《电子测量技术》
2014年第2期54-57,共4页
Electronic Measurement Technology
基金
国家自然科学基金项目(61271412
61172121)
