Image-based estimation of oat panicle development using local texture patterns
Image-based estimation of oat panicle development using local texture patterns
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DOI：
10.1071/fp14056
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发表时间：
2015-01-01
影响因子：
3
通讯作者：
Howarth, Catherine
中科院分区：
文献类型：
--
作者：
Boyle, Roger;Corke, Fiona;Howarth, Catherine
物种之间和物种内的开花时间各不相同，深刻影响野生植物的繁殖适应性和农作物的生产力。因此，开花时间是一项重要的统计数据，作为育种计划和表型实验的一部分定期收集，以促进基因型和处理的比较。它的自动检测将是非常理想的。我们在解决燕麦（Avena sativa L.）这一问题的方法上取得了重大进展，燕麦是一种日益重要的不发达谷类作物。利用我们现有的数千张燕麦植物图像，涵盖不同的基因型和处理方法，我们观察到在开花期间，圆锥花序（开花结构）表现出特定的强度模式，这些模式给出了与主要植物体不同且具有区别性的可识别纹理，可用于确定开花时间。该纹理可以通过过滤器来定位，并作为局部模式的形式进行训练。该训练阶段确定了此类过滤器的最佳参数，这有助于发现圆锥花序小穗的规模。结果证明过滤器是成功的。我们继续建议和评估一种使用过滤器作为生长阶段检测器的方法。初步结果显示与手工测量的地面实况非常吻合，并且可以在多个方面进行改进。未来的工作将建立在这一初步成功的基础上，并将继续定位具有不同外观的完全成熟的圆锥花序，并评估这种方法是否可以扩展到更广泛的植物。
Flowering time varies between and within species, profoundly influencing reproductive fitness in wild plants and productivity in crop plants. The time of flowering, therefore, is an important statistic that is regularly collected as part of breeding programs and phenotyping experiments to facilitate comparison of genotypes and treatments. Its automatic detection would be highly desirable. We present significant progress on an approach to this problem in oats (Avena sativa L.), an underdeveloped cereal crop of increasing importance. Making use of the many thousands of images of oat plants we have available, spanning different genotypes and treatments, we observe that during flowering, panicles (the flowering structures) betray particular intensity patterns that give an identifiable texture that is distinctive and discriminatory with respect to the main plant body and can be used to determine the time of flowering. This texture can be located by a filter, trained as a form of local pattern. This training phase identifies the best parameters of such a filter, which usefully discovers the scale of the panicle spikelets. The results demonstrate the success of the filter. We proceed to suggest and evaluate an approach to using the filter as a growth stage detector. Preliminary results show very good correspondence with hand-measured ground truth, and are amenable to improvement in several ways. Future work will build on this initial success and will go on to locate fully mature panicles, which have a different appearance, and assess whether this approach can be extended to a broader range of plants.