caa a22 4500 467936870 CHVBK 20180406152959.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s00138-006-0024-4 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0024-4 Detecting and Measuring Fine Roots in Minirhizotron Images Using Matched Filtering and Local Entropy Thresholding [Elektronische Daten] [Guang Zeng, Stanley Birchfield, Christina Wells] 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. Springer-Verlag, 2006 Root detection nationallicence Minirhizotron images nationallicence Matched filtering nationallicence Thresholding nationallicence AdaBoost nationallicence Freeman algorithm nationallicence Zeng Guang Department of Electrical and Computer Engineering, Clemson University, 207-A Riggs Hall, 29634, Clemson, SC, USA aut Birchfield Stanley Department of Electrical and Computer Engineering, Clemson University, 207-A Riggs Hall, 29634, Clemson, SC, USA aut Wells Christina Department of Horticulture, Clemson University, Clemson, SC, USA aut Machine Vision and Applications Springer-Verlag 17/4(2006-09-01), 265-278 0932-8092 17:4<265 2006 17 138 https://doi.org/10.1007/s00138-006-0024-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0024-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zeng Guang Department of Electrical and Computer Engineering, Clemson University, 207-A Riggs Hall, 29634, Clemson, SC, USA aut NATIONALLICENCE 700 1- Birchfield Stanley Department of Electrical and Computer Engineering, Clemson University, 207-A Riggs Hall, 29634, Clemson, SC, USA aut NATIONALLICENCE 700 1- Wells Christina Department of Horticulture, Clemson University, Clemson, SC, USA aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/4(2006-09-01), 265-278 0932-8092 17:4<265 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer