【摘要】：現(xiàn)有土壤孔隙量化方法主要通過圖像處理軟件實現(xiàn)孔隙結(jié)構(gòu)的辨識與分析,此類通用的圖像處理軟件或醫(yī)學處理軟件未考慮土壤內(nèi)部物質(zhì)的復雜多變性以及孔隙結(jié)構(gòu)的細小和不規(guī)則性,從而導致孔隙分割精度低進而量化誤差大,為解決這一問題,本文針對土壤CT圖像的特點提出了一種孔隙量化方法。該方法主要包括圖像處理和量化分析兩部分:選用自適應中值濾波算法去除噪聲對孔隙邊緣的影響,并采用迭代最佳閾值法與Canny邊緣檢測算子相結(jié)合的方法,準確識別出土壤孔隙結(jié)構(gòu)及輪廓線;運用數(shù)學統(tǒng)計方法定量研究土壤孔隙率、孔隙數(shù)目、分形維數(shù)、成圓率等幾何指標,用以揭示孔隙結(jié)構(gòu)的復雜性和不規(guī)則性,實現(xiàn)對土壤孔隙的量化分析。最后,以凍融循環(huán)作用下的土壤為應用對象驗證該方法性能。結(jié)果表明,本文方法能精確地定位孔隙輪廓,有效地分割孔隙結(jié)構(gòu),而且通過多種孔隙幾何指標的量化可揭示出凍融循環(huán)作用對土壤結(jié)構(gòu)的影響,為孔隙幾何特征和空間特征的量化表達奠定了基礎(chǔ)。
[Abstract]:The existing soil pore quantification methods are mainly realized by image processing software to identify and analyze the pore structure. This kind of general image processing software or medical software does not take into account the complex variability of soil internal matter and the fineness and irregularity of pore structure, which leads to low accuracy of pore segmentation and large quantification error, in order to solve this problem, According to the characteristics of soil CT images, a porosity quantization method is proposed in this paper. The method mainly includes image processing and quantitative analysis. Adaptive median filter algorithm is used to remove the influence of noise on pore edge, and the iterative optimal threshold method is combined with Canny edge detection operator. The pore structure and contour of soil were identified accurately. In order to reveal the complexity and irregularity of pore structure, the quantitative analysis of soil porosity, fractal dimension and roundness was carried out by means of mathematical statistics. Finally, the performance of the method is verified by using soil under freezing and thawing cycle as an application object. The results show that the method in this paper can locate the pore profile accurately and partition the pore structure effectively. Furthermore, the effect of freeze-thaw cycle on soil structure can be revealed by the quantification of various pore geometry indexes. It lays a foundation for the quantitative expression of the geometric and spatial characteristics of pores.
【作者單位】： 北京林業(yè)大學工學院;
【基金】：中央高�；究蒲袠I(yè)務(wù)費專項(BLX2015-36) 國家自然科學基金青年基金項目(41501283)
【分類號】：S152.5;TP391.41

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