基于感知颜色特征、子图像分割和多重Bitmap的彩色图像检索方法

Color Image Retrieval Method Based on Perceptual Color Features,Sub-image Partition and Multi-level Bitmap Features

在文献[1]的基础上提出改进,采用能够更准确描述感知颜色联系的HSV颜色空间代替传统的RGB颜色空间;对图像进行空间子图像划分,结合颜色特征与空间信息进行检索;通过提取图像颜色的上均值、下均值,获取多重Bitmap特征,扩展比较图像内容差异时所利用的信息范围.实验结果表明,提出的算法比文献[1]算法的检索性能有明显的改进.

Reference[1] proposed a new method based on color features and image bitmap.In this paper,three improvements are proposed as follows： To adopt HSV color space which is more perceptually relevant than RGB color space;To partition an image into equal-sized sub-images to model the color spatial information;By the extraction of Upper Mean color and Lower Mean color,multi-level bitmaps are obtained,which extend the use of comparative information for image differences.In the best case,the performance is improved by an average of 12.16% compared to the original algorithm.