| 基于Kittler最小误差分割算法的小视场星图分割 |
| |
| 引用本文： | 时春霖,杨培章,张超,杜兰,叶凯,范承啸,李建,祖安然. 基于Kittler最小误差分割算法的小视场星图分割[J]. 西南交通大学学报, 2021, 56(1): 168-175. DOI: 10.3969/j.issn.0258-2724.20190841 |
| |
| 作者姓名： | 时春霖 杨培章 张超 杜兰 叶凯 范承啸 李建 祖安然 |
| |
| 基金项目： | 国家自然科学基金（41604011，41774038，41804034，41704006） |
| |
| 摘 要： | 小视场星图易受光照不均和噪声影响,常用阈值分割算法存在处理效果不佳或效率较低的不足.针对星图灰度的高斯分布特征,基于贝叶斯最小误差理论,提出利用Kittler最小误差分割算法处理小视场星图.以视频测量机器人为测量平台,以"优度法"、区域一致性、区域对比度和时间复杂度为评价指标,对比了常用的阈值分割算法和一维最大熵法,验...
|
| 关 键 词： | 天文测量 高斯分布 图像分割 Kittler最小误差法 小视场星图 |
| 收稿时间： | 2019-09-03 |
Segmentation of Small-Field-of-Viewstar Images Based on Kittler Minimum Error Algorithm |
| |
| SHI Chunlin,YANG Peizhang,ZHANG Chao,DU Lan,YE Kai,FAN Chengxiao,LI Jian,ZU Anran. Segmentation of Small-Field-of-Viewstar Images Based on Kittler Minimum Error Algorithm[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 168-175. DOI: 10.3969/j.issn.0258-2724.20190841 |
| |
| Authors: | SHI Chunlin YANG Peizhang ZHANG Chao DU Lan YE Kai FAN Chengxiao LI Jian ZU Anran |
| |
| Abstract: | Compared with conventional images, small-field-of-view star images are more susceptible to the impacts of uneven illumination and measurement noises. Meanwhile, the traditional threshold segmentation algorithm has poor processing effect or efficiency. In terms of the Gaussian distribution of star image gray, the Kittler minimum error segmentation algorithm was used to process star images on the basis of Bayesian minimum error theory. By the use of the video measuring robot, several commonly-used threshold segmentation algorithms and one-dimensional maximum entropy algorithm are compared and analyzed in terms of goodness methods, regional consistency, regional contrast ratio and time complexity. It is indicated that the Kittler minimum error segmentation algorithm can achieve a satisfied segmentation of the small-field-of-view star images, and improves astronomical data processing efficiency significantly withthe average computation timereduced by about 70%. Laboratory experiments for semi-simulation star map and real star mapshow that the proposed algorithm can extract star points and obtain centroid coordinates accurately,whose horizontal and vertical root mean square errors are 0.025 and 0.019 pixels, respectively. Furthermore, extensive field experiments show that the astronomical longitude and latitude calculated by the proposed algorithm can meet first-class astronomical survey accuracy requirements, whose average internal accordant accuracy is better than 0.015 s and 0.22″ respectively, and external accordant accuracy is better than 0.025 s and 0.35″ respectively. |
| |
| Keywords: | |
|
| 点击此处可从《西南交通大学学报》浏览原始摘要信息 |
|
点击此处可从《西南交通大学学报》下载免费的PDF全文 |
|
