一种基于目标区域的彩色图像检索算法  

A Color Image Retrieval Algorithm Based on Object Regions

作　　者：郭 丽[1] 孙兴华[1] 王正群[1] 杨静宇[1] 

机构地区：[1]南京理工大学计算机系603教研室,南京210094

出　　处：《计算机工程》2002年第4期116-117,150,共3页Computer Engineering

摘　　要：提出了一种基于目标区域的彩色图像检索算法。首先,获取彩色图像HSV颜色空间中各个分量图像,然后计算各分量图像的二值边缘图像。根据边缘图像的连通性提取彩色图像的目标区域。在图像检索时,抽取彩色图像目标区域所对应的子图像特征,代替全局图像特征进行图像相似性匹配。实验表明,基于目标区域的彩色图像检索算法优于基于全局图像的检索算法。In this paper a color image retrieval algorithm based on object regions is presented. First, each component image in the HSV space of the color image is obtained, and then the binary edge image of each component image is got. According to the connection of the edge images, the object regions of the color image are extracted. During the image retrieval, the features of the sub images, which the object regions of the color image correspond to, arc extracted and used in the image similarity matching process in place of the global image features. Experiments show that the color image retrieval algorithm based on object regions is superior to that based on the global image.

关 键 词：目标区域 全局图像 连通性 彩色图像检索算法 计算机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]