An approach to minirhizotron root image analysis

Vamerali T; Ganis A; Bona S; Mosca G; Stokes A

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An approach to minirhizotron root image analysis

机译：小型根尖根图像分析方法

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摘要

Minirhizotrons speed up research on root demography, but image quality often hampers standardization of the image processing method. A simple procedure working on the blue band of colour images was tested on fibrous roots of sugarbeet (Beta vulgarisvar. saccharifera). With respect to green and red, the blue band allows better detection of roots when their luminance is very similar to that of the background. The method makes use of an exponential algorithm of contrast stretching, which takes luminance frequency distribution into account. Based on a single threshold level, the procedure includes skeletonization. A minimum segment length was adopted to discriminate roots from extraneous objects. Although a specific minimum root length (MRL) value was calculated for each soil type, results show that a single value can be applied, indicating that this method can be profitably used for processing large samples of images.

机译：小型根管加速了根部人口统计学的研究，但是图像质量通常会妨碍图像处理方法的标准化。在甜菜（Beta vulgarisvar。saccharifera）的纤维根上测试了处理彩色图像蓝带上的简单程序。关于绿色和红色，当根的亮度与背景亮度非常相似时，蓝色条带可以更好地检测根。该方法利用了对比度扩展的指数算法，该算法考虑了亮度频率分布。基于单个阈值级别，该过程包括框架化。采用最小段长度来区分根与无关对象。尽管针对每种土壤类型都计算了特定的最小根长（MRL）值，但结果表明可以应用单个值，这表明该方法可有益地用于处理大量图像样本。

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《Plant and Soil》 |1999年第2期|共11页
作者
Vamerali T; Ganis A; Bona S; Mosca G; Stokes A;
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正文语种 eng
中图分类植物生态学和植物地理学;
关键词
image analysis; sugarbeet; image processing; soil types; roots; length; measurement; Beta vulgaris var. saccharifera;

机译：图像分析;甜菜;图像处理;土壤类型;根;长度;测量;寻常型糖科;

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1. An approach to minirhizotron root image analysis [J] . Vamerali T, Ganis A, Bona S, Plant and Soil . 1999,第1a2期

机译：小型根尖根图像分析方法
2. Detecting and measuring fine roots in minirhizotron images using matched filtering and local entropy thresholding [J] . Zeng G, Birchfield ST, Wells CE Machine Vision and Applications . 2006,第4期

机译：使用匹配滤波和局部熵阈值检测和测量小根部放映图像中的细根
3. A minirhizotron imaging system to identify roots expressing the green fluorescent protein [J] . Faget Marc, Liedgens Markus, Stamp Peter, Computers and Electronics in Agriculture . 2010,第1期

机译：微型根管成像系统，用于识别表达绿色荧光蛋白的根
4. A Region Based Seed Detection for Root Detection in Minirhizotron Images [C] . Gregor Erz, Stefan Posch Pattern Recognition . 2003

机译：基于区域的种子检测，用于微根管成像中的根检测
5. Analysis of root growth in two turfgrass species with minirhizotron and soil coring methods [D] . Young, Jason Scott. 2015

机译：微型根瘤菌和土壤取心方法分析两种草皮草的根系生长
6. AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping [O] . Michael P. Pound, Susan Fozard, Mercedes Torres Torres, 2017

机译：AutoRoot：采用新颖图像分析方法的开源软件支持全自动植物表型
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An approach to minirhizotron root image analysis

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