DocumentCode :
2266474
Title :
Special areas detection on agricultural fields images using evaluations of local brightness variability
Author :
Sadykhov, Rauf ; Doudkin, Alexander ; Ganchenko, Valentin ; Petrovsky, Albert ; Pawlowski, Tadeusz
Author_Institution :
Belarusian State Univ. of Inf. & Radioelectron., Minsk, Belarus
Volume :
1
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
421
Lastpage :
425
Abstract :
Problems of practical using of aerial photograph processing methods based on textural and fractal characteristics of images are considered in the paper (on an example of agricultural field images). ASM, Contrast and Entropy are used as textural characteristics. Calculation of fractal signature is based on fractal dimension. Results of joint segmentation based on proposed methods are tested at processing potato field aerial photographs. Also computational speedup problem using MPI are considered.
Keywords :
agricultural products; application program interfaces; entropy; image segmentation; image texture; message passing; object detection; remote sensing; MPI; aerial photograph processing methods; agricultural field image detection; entropy; fractal dimension; fractal signature; image fractal characteristics; image texture; joint image segmentation; local brightness variability evaluation; potato field aerial photograph processing; Chemicals; Color; Fertilizers; Fractals; Image segmentation; Resource management; Mass-Parallel Processing; aerial photograph; fractal characteristics; textural characteristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-1426-9
Type :
conf
DOI :
10.1109/IDAACS.2011.6072788
Filename :
6072788
Link To Document :
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