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| 目标识别中的稳定图像特征组合发掘 | |
| Alternative Title | the mining of stable image feature-compositions in object recognition |
| 姜永兵; 彭启民 | |
| 2012 | |
| Source | 中国图象图形学报
 |
| ISSN | 1006-8961 |
| Volume | 17Issue:1Pages:99-105 |
| English Abstract | 针对图像局部特征组合稳定性差和区分力不足的问题,通过对由图像半局部邻域特征挖掘得到的频繁项集进行统计学过滤、模式分解、模式总结及模式组成项间几何关系的建模,提出两种具有较强表征力和区分力的图像中层表示模型:类间共用稳定模式(inter-class common stable pattern)和类内特殊稳定模式(intra-class specialstable pattern)。在将这两种模式引入目标识别框架后,得到了相比同类方法较好的结果。 |
| Abstract | In order to improve the stability and discrimination of local feature combination for image representation,two image mediate-level representations,Inter-CSP(inter-class common stable pattern) and ntra-SSP(intra-class special stable pattern) are proposed.The details of processing are given,which can be divided into statistic-filtering,pattern decomposition,pattern summarization,and item-based geometric relation modeling on frequent item_sets mined from image semi-local features.A recognition framework is introduced based on Inter-CSP and Intra-SSP.The experiment results demonstrate that these two kinds of patterns are superior to classical methods. |
| Keyword | Frequent Item Set Pattern Decomposition Pattern Summarization Stable Pattern |
| Department | 中国科学院软件研究所综合信息系统国家级重点实验室;中国科学院研究生院; |
| Subject | Computer Science |
| Language | 中文 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14637 |
| Collection | 天基综合信息系统全国重点实验室 |
| Recommended Citation GB/T 7714 | 姜永兵,彭启民. 目标识别中的稳定图像特征组合发掘[J]. 中国图象图形学报,2012,17(1):99-105. |
| APA | 姜永兵,&彭启民.(2012).目标识别中的稳定图像特征组合发掘.中国图象图形学报,17(1),99-105. |
| MLA | 姜永兵,et al."目标识别中的稳定图像特征组合发掘".中国图象图形学报 17.1(2012):99-105. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 目标识别中的稳定图像特征组合发掘.pdf（696KB） | 开放获取 | License | Application Full Text | |||
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