Content-Based Image Retrieval Based on the Wavelet Transform and Radon Transform

摘要：

The invariant using Radon transform is constructed and a new image retrieval algorithm based on the wavelet transform and Radon transform is presented. It turns to be getting multi-scale edge images by the wavelet modulus maxima after decomposing the images by the wavelet transform in the algorithm. The Radon invariant is extracted to be the shape feature of image to the multi-scale edge images and the energy of every sub frequency band is extracted to be the texture feature of image. The Gaussian model is used to normalize the different sub-characters distance to the shape feature of image and the texture feature of image separately. The shape similarity of images and the texture similarity of images are computed by the Euclidean distance separately. Finally, the weighted sums of the shape similarity of images and the texture similarity of images can be the similarity between the querying image and other images. Experiments indicate that this method is robustness to the Gaussian noises in images similarity retrieval and more effective in the image retrieval than the other algorithms discussed in the paper.

作者: Zhiyong AN Zhiyong ZENG Lihua ZHOU

作者单位: Xidian University, China Fujian Normal University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）