摘要
基于内容的图像检索技术已经成为近年来研究的热点。颜色是基于内容的图像检索的最重要特征之一。常用的颜色特征提取和表达方法是颜色直方图。但颜色直方图只能衡量颜色在全局分布上的差异,丢失了其空间位置信息,影响图像内容相似性的判断和图像检索效果。文章研究的方法是在颜色直方图的基础上进行改进,提出基于分块的主色矩阵检索方法,增强了直方图反映颜色空间分布的能力,使用户可以选择感兴趣区域并调整权重系数并对不同分辨率的图像进行检索前的预处理,减小计算复杂度,提高系统运行效率,节省存储空间。
Color is one of the most important features for content-based image retrieval,which is easy to perceive.Color histogram can reflect basic color and statistical distribution perfectly.However it can only measure the distribution of color in the overall differences without measuring spatial location information..In this paper,author proposes an improved method called dominant color matrix based block which can enhance the main color of images and dim secondary color.It can capture the color spatial location relationship in order to enhance the spatial distribution of color histogram.Though resolutions of different pretreatment,it can reduce the computational complexity,improve the operating efficiency and save storage space.
出处
《电脑知识与技术》
2010年第3X期2223-2226,共4页
Computer Knowledge and Technology
