Knowledge Management System Of Shanghai Institute of Applied Physics, CAS
| Quantized Image Patches Co-occurrence Matrix: A New Statistical Approach for Texture Classification using Image Patch Exemplars | |
| Liu, ZH（刘中华）; Wang, JY(王靖琰）; Li, YP（李勇平）; Zhang, Y（张颖）; Wang, C | |
| 2011 | |
| Conference Name | 3rd International Conference on Digital Image Processing (ICDIP 2011) |
| Source Publication | THIRD INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2011) |
| Conference Date | APR 15-17, 2011 |
| Conference Place | Chengdu, PEOPLES R CHINA |
| Abstract | The statistical distribution of image patch exemplars has been shown to be an effective approach to texture classification. In this paper, the joint distribution of pairs of patches for texture classification from single images is investigated. We developed a statistical method of examining texture that considers the spatial relationship of image patches, which is called the quantized patches co-occurrence matrix (QPCM). In our method, the images are first slipt into small image patches, and then the patches are quantized to the closest patch cluster centers (textons) which is learned form training images. By calculating how often pairs of patches with specific quantized values (texton labels) and in a specified spatial relationship occur in an image, we create the QPCM for images representation. Moreover, we developed a fusion framework for texture classification by fusing 4 QPCM functions with specified neighboring spatial relationship and 3 other statistical representations of image patches, which is called QPCM-SVM classifier. The effectiveness of the proposed texture classification methodology is demonstrated via an extensive consistent evaluation in standard benchmarks that clearly shows better performance against state-of-the-art statistical approach using image patch exemplars. |
| ISSN | 0277-786X |
| ISBN | 978-0-81948-583-0 |
| Indexed By | SCI |
| Funding Project | 应物所课题组 |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://ir.sinap.ac.cn/handle/331007/9624 |
| Collection | 中科院上海应用物理研究所2011-2020年 |
| Recommended Citation GB/T 7714 | Liu, ZH,Wang, JY,Li, YP,et al. Quantized Image Patches Co-occurrence Matrix: A New Statistical Approach for Texture Classification using Image Patch Exemplars[C],2011. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| Quantized Image Patc（835KB） | 开放获取 | -- | View Download | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment