农业工程学报
農業工程學報
농업공정학보
2014年
3期
78-85
,共8页
华珊%陈研%梁露焘%任图生
華珊%陳研%樑露燾%任圖生
화산%진연%량로도%임도생
土壤%图像处理%模型%有界平均振荡模型%土壤孔隙度%孔隙分布%图像滤波技术
土壤%圖像處理%模型%有界平均振盪模型%土壤孔隙度%孔隙分佈%圖像濾波技術
토양%도상처리%모형%유계평균진탕모형%토양공극도%공극분포%도상려파기술
soils%image processing%models%bounded mean oscillation%soil porosity%pore size distribution%image filter
利用自主研发的土壤切片数字图像处理分析系统软件,采用3种滤波方式,即BMO滤波(boundary mean oscillation有界平均振荡模型)、PM滤波(Perona-Malik偏微分方程模型)和中值滤波,对免耕、翻耕和旋耕3种耕作方式下不同深度土壤切片的数字图像进行去噪增强,并对处理后的图像进行了孔隙特征参数提取与统计。在此基础上,探讨了几种图像滤波技术的效果以及耕作方式对不同土层土壤孔隙形态结构的影响,以期找到适用于土壤切片数字图像的滤波技术,为后期土壤孔隙信息的提取与统计提供工具。结果表明,采用 BMO 滤波后,从土壤切片数字图像得到的土壤孔隙度与试验结果最为接近;其中,孔径<5μm的孔隙度显著大于其他图像滤波技术的结果,而5~50μm与>50μm孔径的孔隙度与其他图像滤波技术的结果没有显著差异;与免耕相比,翻耕与旋耕提高了表层土壤的孔隙度,增加了传导孔隙的比例。
利用自主研髮的土壤切片數字圖像處理分析繫統軟件,採用3種濾波方式,即BMO濾波(boundary mean oscillation有界平均振盪模型)、PM濾波(Perona-Malik偏微分方程模型)和中值濾波,對免耕、翻耕和鏇耕3種耕作方式下不同深度土壤切片的數字圖像進行去譟增彊,併對處理後的圖像進行瞭孔隙特徵參數提取與統計。在此基礎上,探討瞭幾種圖像濾波技術的效果以及耕作方式對不同土層土壤孔隙形態結構的影響,以期找到適用于土壤切片數字圖像的濾波技術,為後期土壤孔隙信息的提取與統計提供工具。結果錶明,採用 BMO 濾波後,從土壤切片數字圖像得到的土壤孔隙度與試驗結果最為接近;其中,孔徑<5μm的孔隙度顯著大于其他圖像濾波技術的結果,而5~50μm與>50μm孔徑的孔隙度與其他圖像濾波技術的結果沒有顯著差異;與免耕相比,翻耕與鏇耕提高瞭錶層土壤的孔隙度,增加瞭傳導孔隙的比例。
이용자주연발적토양절편수자도상처리분석계통연건,채용3충려파방식,즉BMO려파(boundary mean oscillation유계평균진탕모형)、PM려파(Perona-Malik편미분방정모형)화중치려파,대면경、번경화선경3충경작방식하불동심도토양절편적수자도상진행거조증강,병대처리후적도상진행료공극특정삼수제취여통계。재차기출상,탐토료궤충도상려파기술적효과이급경작방식대불동토층토양공극형태결구적영향,이기조도괄용우토양절편수자도상적려파기술,위후기토양공극신식적제취여통계제공공구。결과표명,채용 BMO 려파후,종토양절편수자도상득도적토양공극도여시험결과최위접근;기중,공경<5μm적공극도현저대우기타도상려파기술적결과,이5~50μm여>50μm공경적공극도여기타도상려파기술적결과몰유현저차이;여면경상비,번경여선경제고료표층토양적공극도,증가료전도공극적비례。
In this paper, we applied an original image filter called BMO (bounded mean oscillation) and two other common image filters, the PM filter (Perona-Malik PDE model), and the median filter, to remove the noise and estimate the porosity and pore size distribution of digital images of a soil thin section obtained from three contrasting tillage systems (conventional tillage, rotary tillage, and zero tillage) and soil layers. The BMO filter uses a new derivative format to detect the boundary characteristics of images, and eliminates the influence of image noise using the mathematical method of integral average. The results showed that the BMO filter performed better than the other two filters in detecting image edges and detail characteristics. Compared with the other two techniques, the BMO filter gave a significantly higher porosity for the soil pore with aperture < 5μm, and the soil porosity obtained from the BMO filter was the closest to the experimental data. The PM filter produced higher porosities for the pores with aperture 5 to 50μm and > 50μm than the other two filters, but no significant differences were observed among them. It followed that the PM filter was a little better than the other two filters in analyzing pores with aperture >5μm. There were no remarkable differences between the soil porosities with aperture > 50μm obtained from the three image filters and experimental data. However, for soil pores with aperture < 50μm, porosities obtained from the image filters and experimental data were significantly different. The main reason for that was that the two-dimensional soil slice could not completely represent a three-dimensional structure of undisturbed soil samples. Image resolution may also impact on identifying small soil pores. The advantage of a BMO filter on identifying small soil pores to some extent compensated the loss of small soil pores caused by a preparation of soil section and image resolution. Our results also indicated that the conventional and rotary tillage systems improved soil porosity and the ratio of transmission pores (pores with aperture > 50μm) in a surface soil layer. Zero tillage decreased soil porosity due to the reduction of mechanical disturbance on a surface soil layer, and showed beneficial effects on increasing the ratio of storage pores (with apertures of 5 to 50μm).