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http://dx.doi.org/10.7843/kgs.2022.38.5.61

Using the CIELAB Color System for Soil Color Identification Based on Digital Image Processing  

Baek, Sung-Ha (Korea Institute of Civil Engr. and Building Tech.)
Park, Ka-Hyun (Korea Institute of Civil Engr. and Building Tech.)
Jeon, Jun-Seo (Korea Institute of Civil Engr. and Building Tech.)
Kwak, Tae-Young (Korea Institute of Civil Engr. and Building Tech.)
Publication Information
Journal of the Korean Geotechnical Society / v.38, no.5, 2022 , pp. 61-71 More about this Journal
Abstract
Soil color is used to determine soil classification and its physical, chemical, and biological properties. Visual determination is the most commonly used method for identifying soil color. However, it is subjective and, in many cases, non-repeatable. Digital image processing obtains useful information from digital images, accelerates soil classification, and enables the rapid identification of soil types in a field. This study develops a digital image processing-based soil color analysis technology that can consider irregular light conditions in the field. The digital image studio was designed to simulate the characteristics of natural light (illuminance and color temperature). Also, digital images of two soil samples (Jumoonjin sand and Anseong weathered soil) were captured under 12 different light conditions. For the RGB and CIELAB color systems, soil color intensities of 24 images were obtained using digital image processing. CIELAB was suitable for dealing with irregular light conditions in the field.
Keywords
CIELAB; Color temperature; Digital image processing; Illuminance; Soil color;
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