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

被引：0
|
作者：
Petros Maragos
Anastasia Sofou
Giorgos B. Stamou
Vassilis Tzouvaras
Efimia Papatheodorou
George P. Stamou
机构：
[1] National Technical University of Athens,School of Electrical & Computer Engineering
[2] Aristotle University of Thessaloniki,Department of Biology, Ecology Division
来源：
EURASIP Journal on Advances in Signal Processing | / 2004卷
关键词：
soilsection image analysis; geometric feature extraction; morphological segmentation; multiscale texture analysis; neurofuzzy quality inference;
D O I：
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中图分类号：
学科分类号：
摘要：
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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