论文信息 - A Novel Two-Level Color Image Retrieval Method

A Novel Two-Level Color Image Retrieval Method

This paper presents an effective two-level color image retrieval method based on the RGB color model. For the purpose of effectively retrieving more similar images from the digital image databases, we divide the image into different regions and set bigger weight for the region we focus on. In addition, we set different weights for each RGB component of the color image according to the main hue of it. As a result, this scheme can enhance the retrieval accuracy that is measured in terms of the recall and precision.

Xing-Yuan Wang | Zhi-Feng Chen | Jiao-Jiao Yun

[1] B. S. Manjunath,et al. An efficient color representation for image retrieval , 2001, IEEE Trans. Image Process..

[2] Irek Defée,et al. DCT histogram optimization for image database retrieval , 2005, Pattern Recognit. Lett..

[3] Xuelong Li. Image retrieval based on perceptive weighted color blocks , 2003, Pattern Recognit. Lett..

[4] Irek Defée,et al. Performance of similarity measures based on histograms of local image feature vectors , 2007, Pattern Recognit. Lett..

[5] Xiangyang Wang,et al. An effective image retrieval scheme using color, texture and shape features , 2011, Comput. Stand. Interfaces.

[6] Sung-Hyuk Cha,et al. On measuring the distance between histograms , 2002, Pattern Recognit..

[7] Jiangtao Cui,et al. Image retrieval based on color distribution entropy , 2006, Pattern Recognit. Lett..

[8] Hossein Nezamabadi-pour,et al. Image retrieval using histograms of uni-color and bi-color blocks and directional changes in intensity gradient , 2004, Pattern Recognit. Lett..

[9] Chin-Chen Chang,et al. Color image retrieval technique based on color features and image bitmap , 2007, Inf. Process. Manag..