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基于图像检测的墙面裂纹检测及损伤评估

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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 Detection and Damage Assessment Based on Image Detection
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)