Physical characteristics and spillage detection Using multifeature fusion
文献类型：会议论文
| 作者 | Liu, Caiyu3; Zhou, Zuofeng2 ; Wu, Qingquan1
|
| 出版日期 | 2021-12-02 |
| 会议日期 | 2021-09-08 |
| 会议地点 | Ottawa, ON, Canada |
| 关键词 | spillage detection multi-feature fusion density clustering |
| 卷号 | 2083 |
| 期号 | 2 |
| DOI | 10.1088/1742-6596/2083/2/022041 |
| 英文摘要 | As an important part of road maintenance, the detection of road sprinkles has attracted extensive attention from scholars. However, after years of research, there are still some problems in the detection of road sprinkles. First of all, the detection accuracy of traditional detection algorithm is deficient. Second, deep learning approaches have great limitations for there are various kinds of sprinkles which makes it difficult to build a data set. In view of the above problems, this paper proposes a road sprinkling detection method based on multi-feature fusion. The characteristics of color, gradient, luminance and neighborhood information were considered in our method. Compared with other traditional methods, our method has higher detection accuracy. In addition, compared with deep learning-based methods, our approach doesn't involve creating a complex data set and reduces costs. The main contributions of this paper are as follows: I. For the first time, the density clustering algorithm is combined with the detection of sprinkles, which provides a new idea for this field. II. The use of multi-feature fusion improves the accuracy and robustness of the traditional method which makes the algorithm usable in many real-world scenarios. © 2021 Institute of Physics Publishing. All rights reserved. |
| 产权排序 | 1 |
| 会议录 | 2021 2nd International Conference on Applied Physics and Computing, ICAPC 2021 - 1. Applied Physics
 |
| 会议录出版者 | IOP Publishing Ltd |
| 语种 | 英语 |
| ISSN号 | 17426588;17426596 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/95630]  |
| 专题 | 西安光学精密机械研究所_动态光学成像研究室 |
| 作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics, Cas Industrial Development Co. Ltd., Xian; 710018, China 2.University of Chinese Academy of Sciences, Beijing; 100039, China; 3.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shanxi, Xi'an; 710119, China; |
| 推荐引用方式 GB/T 7714 | Liu, Caiyu,Zhou, Zuofeng,Wu, Qingquan. Physical characteristics and spillage detection Using multifeature fusion[C]. 见:. Ottawa, ON, Canada. 2021-09-08. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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