Image classification using wavelet coefficients in low-pass bands
文献类型：会议论文
| 作者 | Weibao Zou ; Yan Li |
| 出版日期 | 2007 |
| 会议名称 | The 2007 International Joint Conference on Neural Networks, IJCNN 2007 |
| 会议地点 | Florida, USA, |
| 英文摘要 | In this paper, a method based on wavelet coefficients in low-pass bands is proposed for the image classification with adaptive processing of data structures to organize a large image database. After an image is decomposed by wavelet, its features can be characterized by the distribution of histograms of wavelet coefficients. The coefficients are respectively projected onto x and y directions. For different images, the distribution of histograms of wavelet coefficients in low-pass bands is substantially different. However, the one in high-pass bands is not as different, which makes the performance of classification not reliable. This paper presents a method for image classification based on wavelet coefficients inlow-pass bands only. Images are arranged into a tree structure. The nodes can then be represented by the distribution of histograms of thesewavelet coefficients. 2940 images derived from seven categories are used for image classification. Based on the wavelet coefficients in low-pass bands, the improvement of classification rate on the training data set is up to 11%, and the improvement of classification rate on the testing data set reaches 20%. Experimental results show that our proposed approach for image classification is more effective and reliable |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2139]  |
| 专题 | 深圳先进技术研究院_其他 |
| 推荐引用方式 GB/T 7714 | Weibao Zou,Yan Li. Image classification using wavelet coefficients in low-pass bands[C]. 见: The 2007 International Joint Conference on Neural Networks, IJCNN 2007 . Florida, USA,. |
入库方式： OAI收割
来源：深圳先进技术研究院
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