Detecting and measuring fine roots in minirhizotron images using matched filtering and local entropy thresholding

被引:17
作者
Zeng, Guang
Birchfield, Stanley T.
Wells, Christina E.
机构
[1] Clemson Univ, Dept Elect & Comp Engn, Clemson, SC 29634 USA
[2] Clemson Univ, Dept Hort, Clemson, SC 29634 USA
关键词
root detection; minirhizotron images; matched filtering; thresholding; AdaBoost; Freeman algorithm;
D O I
10.1007/s00138-006-0024-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An approach to automate the extraction and measurement of roots in minirhizotron images is presented. Two-dimensional matched filtering is followed by local entropy thresholding to produce binarized images from which roots are detected. After applying a root classifier to discriminate fine roots from unwanted background objects, a root labeling method is implemented to identify each root in the image. Once a root is detected, its length and diameter are measured using Dijkstra's algorithm for obtaining the central curve and the Kimura-Kikuchi-Yamasaki method for measuring the length of the digitized path. Experimental results from a collection of peach (Prunus persica) root images demonstrate the effectiveness of the approach.
引用
收藏
页码:265 / 278
页数:14
相关论文
共 27 条
[21]   PRODUCTION, TURNOVER, AND NUTRIENT DYNAMICS OF ABOVEGROUND AND BELOWGROUND DETRITUS OF WORLD FORESTS [J].
VOGT, KA ;
GRIER, CC ;
VOGT, DJ .
ADVANCES IN ECOLOGICAL RESEARCH, 1986, 15 :303-377
[22]   ROOT LENGTH MEASUREMENT WITH A COMPUTER-CONTROLLED DIGITAL SCANNING MICRO-DENSITOMETER [J].
VOORHEES, WB ;
CARLSON, VA ;
HALLAUER, EA .
AGRONOMY JOURNAL, 1980, 72 (05) :847-851
[23]  
Wells CE, 2001, ECOLOGY, V82, P882, DOI 10.1890/0012-9658(2001)082[0882:MDISAA]2.0.CO
[24]  
2
[25]  
[No title captured]
[26]  
[No title captured]
[27]  
[No title captured]