Insect models of illumination-invariant skyline extraction from UV and green channels
Insect models of illumination-invariant skyline extraction from UV and green channels
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DOI：
10.1016/j.jtbi.2015.06.020
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发表时间：
2015-09-07
影响因子：
2
通讯作者：
Moeller, Ralf
中科院分区：
文献类型：
--
作者：
Differta, Dario;Moeller, Ralf
实验表明，天际线是昆虫导航的重要视觉线索。然而，由于可能的照明变化，在一天中的不同时间收集的两个快照之间的比较是一项复杂的任务。在这项研究中，我们研究是否可以使用来自两个不同的颜色通道（UV和绿色，这也适用于许多昆虫）的信息，以获得天空和地面之间的照明不变的分离。我们收集了一整天七个不同场景的紫外线和绿色图像，其中自然和人造物体在天空中可见。通过收集的数据，我们希望找到以下两个问题的答案：“与仅使用紫外线的视觉相比，紫外线/绿色对比视觉是否提高了分离质量？和'什么产生更好的性能：基于固定阈值的分离方法（全局分离技术）或根据输入图像调整阈值的分离方法（局部分离技术）？“我们实施了几种线性分离技术，发现与仅使用UV相比，UV/绿色对比度仅略微提高了全局分离的质量，并且局部分离技术上级全局分离技术。(C)2015爱思唯尔有限公司版权所有。
Experiments have shown that the skyline is an important visual cue for navigating insects. However, the comparison between two snapshots collected at different times of day is a complex task due to possible illumination changes. In this study we examine whether the information from two different color channels (UV and green, which are also available for many insects) can be used to obtain an illumination-invariant separation between the sky and ground. We collected UV and green images of seven different scenes over entire days, in which natural and artificial objects are visible in front of the sky. With the collected data we want to find answers to the following two questions: 'Does UV/green contrast vision increase the quality of separation compared to UV-only vision?' and 'What yields a better performance: separation methods based on a fixed threshold (global separation techniques) or separation methods which adapt the threshold dependent on the input image (local separation techniques)?' We implemented several linear separation techniques and found that UV/green contrast only marginally increases the quality of global separation in comparison to UV-only, and that local separation techniques are superior to global separation techniques. (C) 2015 Elsevier Ltd. All rights reserved.