Step-by-step pipeline processing approach for line segment detection
文献类型：期刊论文
| 作者 | Zheng, Tianjiang; Chang Z(常铮) ; Luo HB(罗海波); Ding QH(丁庆海); Shao CY(邵春艳); Zhang, Chi
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| 刊名 | IET Image Processing
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| 出版日期 | 2017 |
| 卷号 | 11期号:6页码:416-424 |
| 关键词 | image segmentation affine transforms edge detection eigenvalues and eigenfunctions line segment detection step-by-step pipeline processing approach resistant to affine transformation and monotonic intensity change descriptor RATMIC descriptor Canny detector Harris corner detector regions of interest |
| ISSN号 | 1751-9659 |
| 产权排序 | 2 |
| 通讯作者 | Shao CY(邵春艳) |
| 中文摘要 | This study proposes a line segment detection that can efficiently and effectively handle non-linear uniform intensity changes. The presented sketching algorithm applies the resistant to affine transformation and monotonic intensity change (RATMIC) descriptor to conduct binary translation in the image pre-processing step, which can remove the unwanted smoothing of the Canny detector in most line detections. The Harris corner detector is applied to catch regions of line segments for the purpose of simulating the composition of sketching and achieving a sense of unity within the picture. Furthermore, the RATMIC descriptor is employed to obtain binary images of the regions of interest (ROIs). Finally, small eigenvalue analysis is implemented to detect straight lines in the ROIs. The experiments conducted on various images with image rotation, scaling, and translation validate the effectiveness of the proposed method. The experimental results also demonstrate that about 30% in the overall coverage of major lines and 20% in the coverage per major line are increased compared with the state-of-the-art line detectors. Moreover, the performance of the proposed method produces a combined advantage of ~17% in the coverage of line segments over the line segment detector with noisy images. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Computer Science ; Engineering ; Imaging Science & Photographic Technology |
| 关键词[WOS] | TECTONIC LINEAMENT ANALYSIS ; MATLAB-BASED TOOLBOX ; HOUGH TRANSFORM ; CORNER DETECTION ; SATELLITE IMAGES ; EXTRACTION ; ALGORITHM ; TECLINES ; DEMS |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000403406800009 |
| 源URL | [http://ir.sia.cn/handle/173321/20751]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 作者单位 | 1.Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology of Zhejiang Province, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China 2.Space Star Technology Co., Ltd., Beijing, 100086, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 4.Key Laboratory of Opt-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Zheng, Tianjiang,Chang Z,Luo HB,et al. Step-by-step pipeline processing approach for line segment detection[J]. IET Image Processing,2017,11(6):416-424. |
| APA | Zheng, Tianjiang,Chang Z,Luo HB,Ding QH,Shao CY,&Zhang, Chi.(2017).Step-by-step pipeline processing approach for line segment detection.IET Image Processing,11(6),416-424. |
| MLA | Zheng, Tianjiang,et al."Step-by-step pipeline processing approach for line segment detection".IET Image Processing 11.6(2017):416-424. |
入库方式： OAI收割
来源：沈阳自动化研究所
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