Cautionary notes for the automated analysis of soil pore-space images

Thompson, Michael L.; Singh, Priyanka; Corak, S. J.; Straszheim, Warren E.

doi:10.1016/0016-7061(92)90067-h

Cited by 32 publications

(21 citation statements)

References 26 publications

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“…As all of the images used in this study were collected using a colour video camera, no image-to-image registration was needed in order to produce a digital colour composite image on-screen. However, it was necessary to undertake shade correction and frame calibration in order to correct for factors such as uneven illumination of a sample and the non-square aspect ratio of the video camera (Sampat, 1991;Thompson et al, 1992). The pixel size, and therefore the maximum object resolution, was set at 0·0066 mm 2 (0·06 0·11 mm) for all the images used in this study, with a frame size of approximately 90 mm 50 mm.…”

Section: Image Pre-processingmentioning

confidence: 99%

“…Secondly, the extraction of soil micromorphological information from thin sections may be hampered by the inherent variability between soil thin sections taken from the same locality. Indeed, in some instances thin sections taken from the same sample tin can provide quite contrasting information (Thompson et al, 1992). Similarly, the effects of tillage on soil organization and structure will also vary from soil series to soil series.…”

Section: Introductionmentioning

confidence: 99%

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The Use of Image Analysis in the Micromorphological Study of Old Cultivated Soils: an Evaluation Based on Soils from the Island of Papa Stour, Shetland

Bryant

Davidson

1996

Journal of Archaeological Science

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Section: Image Pre-processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Use of Image Analysis in the Micromorphological Study of Old Cultivated Soils: an Evaluation Based on Soils from the Island of Papa Stour, Shetland

Bryant

Davidson

1996

Journal of Archaeological Science

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“…The techniques (for example, pointcounting) for quantifying petrographical relations are tedious and error prone [5]. Starting in the early 1970s, image analyzing systems became available and image analyses of soil structure [6][7][8][9][10][11] and porosity [4,[12][13][14][15][16][17][18][19][20][21] were applied for quantification and orientation determinations. Very few attempts have been made to identify and quantify features to the limitations of video digitizers.…”

Section: Introductionmentioning

confidence: 99%

Soil Type Identification Using Remotely Sensed Data for Agricultural Purpose

Jiji¹,

Nadar²

2015

J. Inst. Eng. India Ser. B

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Soil assessment plays important role in making decisions for Agriculture. In this paper, an approach by integrating the image processing and pattern recognition techniques to find the type of soil has been presented. The soil from the area of interest is selected and soil indices are extracted as features. Indexing technique is used for faster retrieval. The efficiency of the proposed system is proved using sensitivity, specificity, precision and recall. Our empirical evaluation has a superior retrieval performance over the performance of other works. This work is of great use to the farmers, who need to identify their field's soil type.

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“…Several other contributions describing its use were presented afterwards (Cooper et al 2005, Horgan 1998, Thompson et al 1992, Ringrose-Voase 1990, Bouma et al 1979, Bullock and Thomasson 1979.…”

Section: Luiz F Pires Et Almentioning

confidence: 99%

Pore system changes of damaged Brazilian oxisols and nitosols induced by wet-dry cycles as seen in 2-D micromorphologic image analysis

Pires

Reichardt²,

Cooper³

et al. 2009

An. Acad. Bras. Ciênc.

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Soil pore structure characterization using 2-D image analysis constitutes a simple method to obtain essential information related to soil porosity and pore size distribution (PSD). Such information is important to infer on soil quality, which is related to soil structure and transport processes inside the soil. Most of the time soils are submitted to wetting and drying cycles (W-D), which can cause important changes in soils with damaged structures. This report uses 2-D image analysis to evaluate possible modifications induced by W-D cycles on the structure of damaged soil samples. Samples of three tropical soils (Geric Ferralsol, GF; Eutric Nitosol, EN; and Rhodic Ferralsol, RF) were submitted to three treatments: 0WD, the control treatment in which samples were not submitted to any W-D cycle; 3WD and 9WD with samples submitted to 3 and 9 consecutive W-D cycles, respectively. It was observed that W-D cycles produced significant changes in large irregular pores of the GF and RF soils, and in rounded pores of the EN soil. Nevertheless, important changes in smaller pores (35, 75, and 150 μm) were also observed for all soils. As an overall consideration, it can be said that the use of image analysis helped to explain important changes in soil pore systems (shape, number, and size distribution) as consequence of W-D cycles.

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Cautionary notes for the automated analysis of soil pore-space images

Cited by 32 publications

References 26 publications

The Use of Image Analysis in the Micromorphological Study of Old Cultivated Soils: an Evaluation Based on Soils from the Island of Papa Stour, Shetland

The Use of Image Analysis in the Micromorphological Study of Old Cultivated Soils: an Evaluation Based on Soils from the Island of Papa Stour, Shetland

Soil Type Identification Using Remotely Sensed Data for Agricultural Purpose

Pore system changes of damaged Brazilian oxisols and nitosols induced by wet-dry cycles as seen in 2-D micromorphologic image analysis

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