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Digital image analysis of cracks in concrete

Digital image analysis of cracks in concrete / Hasliza Abdul Rahman
Kaedah analisis imej untuk mengesan dan menganggarkan keretakan dalam konkrit diterangkan dalam kajian ini. Kehadiran retak dalam konkrit boleh mempengaruhi sifat mekanikal konkrit itu. Selama dua puluh tahun yang lalu, beberapa kaedah telah dihasilkan untuk mengesan dan mengukur keretakan dalam konkrit. Kaedah analisis imej ini membolehkan kita menilai atau mentafsir ciri jaringan keretakan dalam konkrit tersebut. Secara amnya kaedah ini mempunyai tiga langkah termasuklah penyediaan sampel konkrit, pembahagian (segmentation) keretakan dan juga pembetulan kepada data yang telah terhasil. Prosedur yang pertama sekali dijalankan ialah penyediaan sampel konkrit dengan 3 kekuatan ciri yang berbeza. Kekuatan mampatan sampel tersebut diuji pada hari ke-7 dan hari ke-28. Imej keretakan pada konkrit tersebut kemudian diambil dengan menggunakan kamera digital untuk dianalisa. Prosedur pembahagian (segmentation) termasuklah pembetulan terhadap imej bewarna, ‘thresholding’ ketas histogram dan pembetulan keatas imej binary. Imej yang terhasil akan dibaikpulih dan ciri-ciri bentuk retak akan ditentukan. _______________________________________________________________________________________________________ The image analysis technique for the automatic detection and quantification of cracks in concrete is described. The presence of cracks can significantly influence the mechanical and mass transport properties of concrete. Over the past 20 years, several techniques have been developed to detect and measure micro-cracks in concrete. This image analysis technique allows the assessment of the characteristics of the crack network in concrete. The technique of the image analysis is essentially a three-step process that includes the preparation of the samples, segmentation of the cracks, and the treatment of the collected data. The first procedure carried out in this study was the preparation of the concrete samples of the three different characteristics strength. The compressive strength of the samples was taken on 7 and 28 days. Image of cracks on the concrete samples were taken using digital camera and were analyzed using IDRISI sofware. The segmentation includes a treatment of the color image, thresholding on the gray level histogram and treatment of the binary images. The resulting images are then treated and finally the characteristic of the cracking pattern are determined.
Contributor(s):
Hasliza Abdul Rahman - Author
Primary Item Type:
Final Year Project
Identifiers:
Accession Number : 875002033
Language:
English
Subject Keywords:
image; detection; cracks
First presented to the public:
4/1/2005
Original Publication Date:
9/21/2020
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Civil Engineering
Citation:
Extents:
Number of Pages - 65
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2020-09-21 15:49:04.594
Submitter:
Mohd Jasnizam Mohd Salleh

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