Multimodal image matching based on multimodality robust line segment descriptor
文献类型：期刊论文
| 作者 | Zhao CY(赵春阳) ; Zhao HC(赵怀慈); Lv JF(吕进锋); Sun SJ(孙世杰); Li B(李波)
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| 刊名 | Neurocomputing
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| 出版日期 | 2016 |
| 卷号 | 177页码:290-303 |
| 关键词 | Multimodal image matching Multimodality Robust Line Segment Descriptor Multimodality robust line segment MRLSD matching |
| ISSN号 | 0925-2312 |
| 产权排序 | 1 |
| 通讯作者 | 赵春阳 |
| 中文摘要 | Although a number of local feature-based methods have been proposed, the multimodality matching is still a challenging problem in object recognition, remote sensing and medical image processing where the image contrast is significantly different. The local feature-based multimodality matching method is usually intensity-based, so the matching performance is not good enough because intensity-based method is sensitive to contrast variations. In order to solve these problems, we propose a novel Multimodality Robust Line Segment Descriptor (MRLSD) and develop a MRLSD matching method. The proposed method generates MRLSD descriptors based on extracted highly equivalent corners and line segments for two multimodal images, and then performs image matching by measuring the similarity of corresponding descriptors over two images. The proposed corner and line segment extraction method is based on local phase and direction information, and is insensitive to contrast variations, so the MRLSD descriptor is robust to modality variations. The MRLSD descriptor is rotation invariant by selecting circular feature sub-regions and projecting feature vectors to radial direction. The MRLSD descriptor achieves scale invariance by adjusting the radius of circular feature region according to the scale. Experimental results indicate that the proposed method achieves higher precision and repeatability than several state-of-the-art local feature-based multimodality matching methods, and also demonstrate its robustness to multimodal images. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | REGISTRATION ; INVARIANT ; FEATURES ; SURF |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000370085800028 |
| 源URL | [http://ir.sia.cn/handle/173321/17647]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Zhao CY,Zhao HC,Lv JF,et al. Multimodal image matching based on multimodality robust line segment descriptor[J]. Neurocomputing,2016,177:290-303. |
| APA | Zhao CY,Zhao HC,Lv JF,Sun SJ,&Li B.(2016).Multimodal image matching based on multimodality robust line segment descriptor.Neurocomputing,177,290-303. |
| MLA | Zhao CY,et al."Multimodal image matching based on multimodality robust line segment descriptor".Neurocomputing 177(2016):290-303. |
入库方式： OAI收割
来源：沈阳自动化研究所
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