基于局部亮度变异性评价的农田图像特殊区域检测

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Pub Date : 2011-11-10 DOI:10.1109/IDAACS.2011.6072788

R. Sadykhov, A. Doudkin, V. Ganchenko, A. Petrovsky, T. Pawlowski

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摘要

本文讨论了基于图像纹理特征和分形特征的航拍图像处理方法的实际应用问题(以农田图像为例)。使用ASM、对比度和熵作为纹理特征。分形特征的计算基于分形维数。在马铃薯田航拍图像处理中，对所提方法的联合分割结果进行了验证。同时考虑了MPI的计算加速问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

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