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基于图像检测的墙面裂纹检测及损伤评估

Wall Crack Detection and Damage Assessment Based on Image Detection

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通过MATLAB图形处理工具箱对墙面裂纹进行检测,采用阈值分割方法对原始图像进行图像分割,将裂纹从背景中分离出来,对二值化图像进行边缘检测,图像连通区域填充伪彩色来标记墙面裂纹,提高了墙体表面裂纹检测效率,引入分形理论对墙面裂纹这种复杂形态的损伤程度进行了量化评估,结果表明分形维数可以有效表征墙体裂纹损伤程度.
Wall crack is detected through MATLAB graphics processing toolbox.Original image is segmented using threshold segmentation method.Cracks are separated from background.The edge detection of the binary im-age and the false color filling in the connected area of the image to mark the wall surface crack can improve the de-tection efficiency of the wall surface crack,the fractal theory is introduced to quantitatively evaluate the damage de-gree of wall crack,which is a complex form.The results show that the fractal dimension can effectively characterize the damage degree of wall crack.

fractal dimensioncrackimage detection

王玉冉、咸永强、王小龙、纪航

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新疆科技学院,新疆 库尔勒 841000

中国人民解放军63611部队,新疆 库尔勒 841000

中国人民解放军63610部队,新疆 库尔勒 841000

分形维数 裂纹 图像检测

2024

山西电子技术
山西省电子工业科学研究院 山西省电子学会

山西电子技术

影响因子:0.197
ISSN:1674-4578
年,卷(期):2024.(3)