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EURASIP Journal on Advances in Signal Processing
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Image Analysis of Soil Micromorphology: Feature Extraction, Segmentation, and Quality Inference

EURASIP Journal on Advances in Signal Processing volume 2004, Article number: 356937 (2004) Cite this article

Abstract

We present an automated system that we have developed for estimation of the bioecological quality of soils using various image analysis methodologies. Its goal is to analyze soilsection images, extract features related to their micromorphology, and relate the visual features to various degrees of soil fertility inferred from biochemical characteristics of the soil. The image methodologies used range from low-level image processing tasks, such as nonlinear enhancement, multiscale analysis, geometric feature detection, and size distributions, to object-oriented analysis, such as segmentation, region texture, and shape analysis.

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Authors and Affiliations

  1. School of Electrical & Computer Engineering, National Technical University of Athens, Athens, 15773, Greece

    Petros Maragos, Anastasia Sofou, Giorgos B. Stamou & Vassilis Tzouvaras

  2. Department of Biology, Ecology Division, Aristotle University of Thessaloniki, Thessaloniki, 54006, Greece

    Efimia Papatheodorou & George P. Stamou

Authors
  1. Petros Maragos
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  2. Anastasia Sofou
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  3. Giorgos B. Stamou
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  4. Vassilis Tzouvaras
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  5. Efimia Papatheodorou
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  6. George P. Stamou
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Correspondence to Petros Maragos.

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Maragos, P., Sofou, A., Stamou, G.B. et al. Image Analysis of Soil Micromorphology: Feature Extraction, Segmentation, and Quality Inference. EURASIP J. Adv. Signal Process. 2004, 356937 (2004). https://doi.org/10.1155/S1110865704402054

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  • DOI: https://doi.org/10.1155/S1110865704402054

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