自组织(SOM)神经网络在彩色图像检索中的应用  

The Application of Self-organized Neural Network in Color-image Retrieval

作　　者：张灵[1] 章云[1] 杨宜民[1] 

机构地区：[1]广东工业大学自动化学院,广州510090

出　　处：《计算机工程与应用》2003年第27期39-40,共2页Computer Engineering and Applications

基　　金：国家自然科学基金(编号:60075023);广东省自然科学基金(编号:20000041)

摘　　要：该文提出了一种利用自组织(SOM)神经网络进行彩色图像分类,并从原图中分割出感兴趣的目标子图像,进而进行局部形状检索的彩色图像检索方法。与利用全局特征进行检索的方法相比,此方法具有效率高、速度快等特点,并且被检索的图像受噪声污染的影响较小。A way to retrieve color-images is presented in this paper.By this way,the self-organized neural networks are first used to classify color-images into different catalogues by their chromaticity values,and then the sub-images are derived and their spacial features are taken for the local shape retrieval.Compared with the retrieval ways based on spacial features of the whole image,the alternative one is more efficient and less effective by noise of the images.

关 键 词：自组织神经网络 颜色空间 色度 局部Hough变换 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]