{"title":"混凝土管道裂缝检测中不同图像处理技术的分析","authors":"Prachi Patil Kimaya Kolambe Nikita Punjabi Kirti Khairnar Prachi Patil Kimaya Kolambe Nikita Punjabi Kirti K","doi":"10.29369/ijrbat.2023.010.1.0031","DOIUrl":null,"url":null,"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","PeriodicalId":14232,"journal":{"name":"International Journal of Researches in Biosciences and Agriculture Technology","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANALYSIS OF DIFFERENT IMAGE PROCESSING TECHNIQUES FOR CRACK DETECTION IN CONCRETE PIPES\",\"authors\":\"Prachi Patil Kimaya Kolambe Nikita Punjabi Kirti Khairnar Prachi Patil Kimaya Kolambe Nikita Punjabi Kirti K\",\"doi\":\"10.29369/ijrbat.2023.010.1.0031\",\"DOIUrl\":null,\"url\":null,\"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\",\"PeriodicalId\":14232,\"journal\":{\"name\":\"International Journal of Researches in Biosciences and Agriculture Technology\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Researches in Biosciences and Agriculture Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29369/ijrbat.2023.010.1.0031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Researches in Biosciences and Agriculture Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29369/ijrbat.2023.010.1.0031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ANALYSIS OF DIFFERENT IMAGE PROCESSING TECHNIQUES FOR CRACK DETECTION IN CONCRETE PIPES
: 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