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Special areas detection on agricultural fields images using evaluations of local brightness variability | IEEE Conference Publication | IEEE Xplore

Special areas detection on agricultural fields images using evaluations of local brightness variability


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 ...Show More

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.
Date of Conference: 15-17 September 2011
Date Added to IEEE Xplore: 10 November 2011
ISBN Information:
Conference Location: Prague
Belarussian State University of Informatics and Radioelectronics, Minsk, Belarus
United Institute of Informatics National Academy of Science, Minsk, Belarus
United Institute of Informatics National Academy of Science, Minsk, Belarus
United Institute of Informatics National Academy of Science, Minsk, Belarus
Industrial Institute of Agricultural Engineering, Poznan, Poland

Belarussian State University of Informatics and Radioelectronics, Minsk, Belarus
United Institute of Informatics National Academy of Science, Minsk, Belarus
United Institute of Informatics National Academy of Science, Minsk, Belarus
United Institute of Informatics National Academy of Science, Minsk, Belarus
Industrial Institute of Agricultural Engineering, Poznan, Poland

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