High dynamic range images and support vector machine algorithm for damage identification on concrete structures
By: Arulmozhi, Priya N
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Contributor(s): Sivasubramanian, K.
Publisher: Mumbai ACC LTD 2023Edition: Vol.97(4), Apr.Description: 43-55p.Subject(s): Civil EngineeringOnline resources: Click here
In:
Indian Concrete Journal - ICJSummary: The present work proposes to adopt and investigate the applicability of high dynamic range (HDR) images for the identification and quantification of damages in concrete structures. In this work, support vector machine (SVM) algorithm which is a popular artificial intelligent algorithm has been used for classification and identification of the damage regions. The SVM algorithm is primarily trained to identify and classify the damage region. Based on the training, a SVM model is developed which is later used for the identification of the damage region. On further processing, the quantification of the damage region becomes possible. In the present work, four images with different types of damage on concrete structures have been selected. The damage identification and quantification have been carried out using the SVM algorithm. From the results, it has been observed that the application of SVM algorithm on HDR images can be used to effectively identify and quantify damages in concrete structures.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology (PG) Archieval Section | Not for loan | 2023-0992 |
The present work proposes to adopt and investigate the applicability of high dynamic range (HDR) images for the identification and quantification of damages in concrete structures. In this work, support vector machine (SVM) algorithm which is a popular artificial intelligent algorithm has been used for classification and identification of the damage regions. The SVM algorithm is primarily trained to identify and classify the damage region. Based on the training, a SVM model is developed which is later used for the identification of the damage region. On further processing, the quantification of the damage region becomes possible. In the present work, four images with different types of damage on concrete structures have been selected. The damage identification and quantification have been carried out using the SVM algorithm. From the results, it has been observed that the application of SVM algorithm on HDR images can be used to effectively identify and quantify damages in concrete structures.
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