Image Retrieval of Wood Species by Color, Texture, and Spatial Information

摘要：

In this paper, we present an image retrieval method that integrates the color, textural and spatial information of images to facilitate the retrieval effect. Nine parameters are extracted based on the HSV, GLCM, LRE models, and wavelet, fractal algorithms, which include: hue, saturation, value, contrast, angular second moment, sum of variances, long run emphasis, fractal dimension, and wavelet horizontal energy proportion. Then with a maximal similarity measure, the nine parameters are used to retrieve wood species, and the results show that the retrieval effectiveness can be improved by combining these features.

作者: Haipeng Yu Jun Cao Wei Luo Yixing Liu

作者单位: Northeast Forestry University,Harbin 150040,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 1116-1119

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）