A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System
文献类型：期刊论文
| 作者 | Kang, Xiaomei1,2 ; Kong, Qingqun1,2; Zeng, Yi1,2,3,4; Xu, Bo1,2,3; Ceng Y(曾毅)
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| 刊名 | FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
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| 出版日期 | 2018-04-30 |
| 卷号 | 12期号:12页码:28 |
| 关键词 | Primary Visual System Biological Mechanism Contour Detection Prior Filtering Uniform Sampling Sparse Coding |
| DOI | 10.3389/fncom.2018.00028 |
| 文献子类 | Article |
| 英文摘要 | Compared to computer vision systems, the human visual system is more fast and accurate. It is well accepted that V1 neurons can well encode contour information. There are plenty of computational models about contour detection based on the mechanism of the V1 neurons. Multiple-cue inhibition operator is one well-known model, which is based on the mechanism of V1 neurons' non-classical receptive fields. However, this model is time-consuming and noisy. To solve these two problems, we propose an improved model which integrates some additional other mechanisms of the primary vision system. Firstly, based on the knowledge that the salient contours only occupy a small portion of the whole image, the prior filtering is introduced to decrease the running time. Secondly, based on the physiological finding that nearby neurons often have highly correlated responses and thus include redundant information, we adopt the uniform samplings to speed up the algorithm. Thirdly, sparse coding is introduced to suppress the unwanted noises. Finally, to validate the performance, we test it on Berkeley Segmentation Data Set. The results show that the improved model can decrease running time as well as keep the accuracy of the contour detection. |
| WOS关键词 | PRIMARY VISUAL-CORTEX ; RECEPTIVE-FIELD INHIBITION ; EDGE-DETECTION ; SUPPRESSION ; EXTRACTION ; NEURONS ; MACAQUE ; COLOR ; CUES ; V1 |
| WOS研究方向 | Mathematical & Computational Biology ; Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000431133100001 |
| 资助机构 | National Natural Science Foundation of China(61403375) ; CETC Joint Fund(6141B08010103) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20915]  |
| 专题 | 类脑智能研究中心_类脑认知计算 |
| 通讯作者 | Ceng Y(曾毅) |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai, Peoples R China 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kang, Xiaomei,Kong, Qingqun,Zeng, Yi,et al. A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System[J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE,2018,12(12):28. |
| APA | Kang, Xiaomei,Kong, Qingqun,Zeng, Yi,Xu, Bo,&曾毅.(2018).A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System.FRONTIERS IN COMPUTATIONAL NEUROSCIENCE,12(12),28. |
| MLA | Kang, Xiaomei,et al."A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System".FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 12.12(2018):28. |
入库方式： OAI收割
来源：自动化研究所
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