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