一种用于图象检索的综合模糊直方图方法

随着多媒体技术的迅速发展，如今虽然在高带宽计算机网络上已能共享传播图象数据，但这也使得信息交换中的可视数据量急剧增加，同时给研究者们提出了有效检索图象的难题，为了能够快速准确地检索图象，提出了一种用综合模糊直方图进行图象检索的方法，该方法综合使用了颜色和纹理特征，首先将图象分块处理，得到了图象在HSI空间的颜色模糊直方图，然后用纹理特征对颜色模糊直方图进行扩展，从而得到综合模糊直方图，同时还给出了抽取图象颜色和纹理特征的方法和建立图象综合模糊方图的计算过程，并用上述方法对一个200幅彩色图象的图象库进行检索，实验结果表明，使用综合模糊直方图能有效地提高图象检索的准确度。

Image Retrieval Using Combined Fuzzy Histogram

The rapid development in multimedia technology and the possibility of sharing and distributing image data through large bandwith computer networks have contributed to an increase of visual data in the global information exchange but also posed a tough task of retrieving image efficiently before researchers. In this paper, an approach of image retrieval using combined fuzzy histogram is proposed. The proposed approach uses combined color and texture features in this way : we first get the color fuzzy histogram in HSI color space in a bulk processing manner, then we use the texture features to expand the color fuzzy histogram and get the combined fuzzy histogram. In particular, the method of extracting color features and texture features of image and the computation process of constructing combined fuzzy histogram is introduced. Experimental results of this approach on an image library consisting of 200 color images are presented to indicate the good performance of the proposed approach.