Layered vasculature segmentation of color conjunctival image based on wavelet transform.
文献类型：期刊论文
| 作者 | Liu, Rong; Xu, Kexin; Jiang, Jingying; Ma, Xiang; Yu, Xuyao |
| 刊名 | BIOMEDICAL SIGNAL PROCESSING AND CONTROL
 |
| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | The vasculature segmentation is one of the essential procedures in the conjunctival image analysis in medicine and biometrics. The vascular patterns segmented from the images are affected by the multi scale, especially the multi-layer feature of the conjunctival vessel. Based on the Monte Carlo simulation and wavelet transform analysis, a layered vasculature segmentation approach for color conjunctival images were developed, so as to extract the conjunctivalvessels by layers from image with fine details, which has great potential in biometrics and the gaze tracking. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14322]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Liu, Rong,Xu, Kexin,Jiang, Jingying,et al. Layered vasculature segmentation of color conjunctival image based on wavelet transform.[J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2018. |
| APA | Liu, Rong,Xu, Kexin,Jiang, Jingying,Ma, Xiang,&Yu, Xuyao.(2018).Layered vasculature segmentation of color conjunctival image based on wavelet transform..BIOMEDICAL SIGNAL PROCESSING AND CONTROL. |
| MLA | Liu, Rong,et al."Layered vasculature segmentation of color conjunctival image based on wavelet transform.".BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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