TY - CONF
T1 - New method for wall cells detection in Arabidopsis thaliana leaves
AU - Forero, Manuel G.
AU - Perdomo, Sammy A.
AU - Quimbaya, Mauricio A.
PY - 2016/11/14
Y1 - 2016/11/14
N2 - © 2016 IEEE. A new image processing method for cell detection in leaves of Arabidopsis thaliana is presented. Using complementary image processing techniques, we introduce a good way to obtain the original cell contour shapes, surpassing the limitations given by factors like noise, stomata, blurred edges, and non-uniform illumination. Preliminary results show this process minimizes considerably the time of cell detection in comparison with the traditional biology methods that include a tedious freehand path, and produces matching percentages of true borders over 80%. Experimental results are shown.
AB - © 2016 IEEE. A new image processing method for cell detection in leaves of Arabidopsis thaliana is presented. Using complementary image processing techniques, we introduce a good way to obtain the original cell contour shapes, surpassing the limitations given by factors like noise, stomata, blurred edges, and non-uniform illumination. Preliminary results show this process minimizes considerably the time of cell detection in comparison with the traditional biology methods that include a tedious freehand path, and produces matching percentages of true borders over 80%. Experimental results are shown.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85002843787&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85002843787&origin=inward
U2 - 10.1109/STSIVA.2016.7743348
DO - 10.1109/STSIVA.2016.7743348
M3 - Paper
T2 - 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
Y2 - 14 November 2016
ER -