Open Access

Image Analysis of Soil Micromorphology: Feature Extraction, Segmentation, and Quality Inference

  • Petros Maragos1Email author,
  • Anastasia Sofou1,
  • Giorgos B. Stamou1,
  • Vassilis Tzouvaras1,
  • Efimia Papatheodorou2 and
  • George P. Stamou2
EURASIP Journal on Advances in Signal Processing20042004:356937

Received: 6 February 2003

Published: 15 June 2004


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.

Keywords and phrases

soilsection image analysisgeometric feature extractionmorphological segmentationmultiscale texture analysisneurofuzzy quality inference

Authors’ Affiliations

School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece
Department of Biology, Ecology Division, Aristotle University of Thessaloniki, Thessaloniki, Greece


© Maragos et al. 2004