Image analysis algorithm for detection and measurement of Martian sand grains
Image analysis algorithm for detection and measurement of Martian sand grains
复制标题
用于探测和测量火星沙粒的图像分析算法
DOI：
10.1007/s12145-018-0333-y
复制
发表时间：
2018
影响因子：
2.8
通讯作者：
J. Kozakiewicz
中科院分区：
文献类型：
--
作者：
J. Kozakiewicz
图像分析方法通常用于确定颗粒的尺寸和形状。尽管商业和非商业工具能够从图像中检测和测量颗粒，但对于在广泛的火星原位调查期间获取的图像，它们并不能提供良好的结果。在火星探索漫游者（MER）任务和火星科学实验室（MSL）任务的范围内，捕获了数千张沙粒图像，迄今为止，它们是火星沙粒地面真实数据的唯一来源。因此，提出了一种新方法来分析此类图像。半自动算法可以根据显微成像仪（MI）和火星手持镜头成像仪（MAHLI）获得的图像快速检测和测量火星颗粒的尺寸和形状。该方法在 76 幅陆地和火星沉积物图像上进行了评估。将陆地样品的结果与筛分分析以及 ImageJ 和 Malvern Morphologi G3 系统的结果进行比较。该方法提供了与其他方法类似的结果。它对颗粒的尺寸没有任何限制，并且允许接触颗粒的分离。
Image analysis methods are commonly employed to determine the size and shape of particles. Although commercial and non-commercial tools enable detection and measurement of grains from images, they do not provide good results in the case of images acquired during extensive in situ Martian investigations. Within the confines of the Mars Exploration Rover (MER) mission and the Mars Science Laboratory (MSL) mission thousands of images of sand grains were captured, and hitherto, they are the only source of ground-truth data on Martian sand particles. Therefore, a new approach is proposed to analyze such images. The semi-automatic algorithm allows fast detection and measurement of the size and shape of Martian grains from images obtained by the Microscopic Imager (MI) and the Mars Hand Lens Imager (MAHLI). The method was evaluated on 76 images of terrestrial and Martian deposits. The results for the terrestrial samples were compared to those from sieve analysis, as well as with ImageJ and Malvern Morphologi G3 systems. The method provides similar results to those from the other methods. It does not have any limitation on the size of grains, and permits separation of touching particles.
好奇号火星车从布拉德伯里登陆点到岩巢沿线的卵石和卵石大小碎屑的特征
DOI：
10.1002/2013je004435
发表时间：
--
期刊：
Journal of Geophysical Research: Planets
影响因子：
--
作者：
Yingst [including W. Goetz]
通讯作者：
Yingst [including W. Goetz]