ANALYSIS OF DIFFERENT IMAGE PROCESSING TECHNIQUES FOR CRACK DETECTION IN CONCRETE PIPES

Prachi Patil Kimaya Kolambe Nikita Punjabi Kirti Khairnar Prachi Patil Kimaya Kolambe Nikita Punjabi Kirti K
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Abstract

: Crack detection in concrete infrastructure is a very important issue especially the detection of cracks in underground pipes for estimating the degree of pipe deterioration and damage. The manual process is suitable only if the pipe is small it is very time consuming and expensive. This paper offers the analysis of three image processing techniques, namely Morphological Approach, Gaussian and Prewitt Filter and Sobel Filter for detection of cracks in concrete pipes. In this paper, the authors calculate the accuracy, precision and time of execution of each technique to find out the most efficient image processing technique for the detection of the crack
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混凝土管道裂缝检测中不同图像处理技术的分析
混凝土基础设施中的裂缝检测是一个非常重要的问题,特别是地下管道的裂缝检测,用于评估管道劣化和损坏程度。手工工艺只适用于管道小的情况,它非常耗时和昂贵。本文分析了三种用于混凝土管道裂缝检测的图像处理技术,即形态学方法、高斯与Prewitt滤波和Sobel滤波。在本文中,作者计算了每种技术的精度、精密度和执行时间,以找出最有效的图像处理技术来检测裂纹
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