Wavelet-based image analysis system for soil texture analysis

Yun Sun; Zhiling Long; Ping-Rey Jang; M. John Plodinec

doi:10.1117/12.477737

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28 May 2003 Wavelet-based image analysis system for soil texture analysis

Yun Sun, Zhiling Long, Ping-Rey Jang, M. John Plodinec

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Proceedings Volume 5014, Image Processing: Algorithms and Systems II; (2003) https://doi.org/10.1117/12.477737
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Soil texture is defined as the relative proportion of clay, silt and sand found in a given soil sample. It is an important physical property of soil that affects such phenomena as plant growth and agricultural fertility. Traditional methods used to determine soil texture are either time consuming (hydrometer), or subjective and experience-demanding (field tactile evaluation). Considering that textural patterns observed at soil surfaces are uniquely associated with soil textures, we propose an innovative approach to soil texture analysis, in which wavelet frames-based features representing texture contents of soil images are extracted and categorized by applying a maximum likelihood criterion. The soil texture analysis system has been tested successfully with an accuracy of 91% in classifying soil samples into one of three general categories of soil textures. In comparison with the common methods, this wavelet-based image analysis approach is convenient, efficient, fast, and objective.

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Yun Sun, Zhiling Long, Ping-Rey Jang, and M. John Plodinec "Wavelet-based image analysis system for soil texture analysis", Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); https://doi.org/10.1117/12.477737

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