Concrete Slump Classification using GLCM Feature Extraction

4th International Conference on Manufacturing, Optimization, Industrial and Material Engineering

Andayani, Relly^1 ; Madenda, Syarifudin^2

Civil Engineering Department, Gunadarma University, Indonesia^1

Information Technology Postgraduate, Gunadarma University, Indonesia^2

关键词: Compression strength;    Concrete mix design;    Concrete slump;    Digital image processing technologies;    GLCM feature;    High resolution;    Image processing technique;    Open-source program;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/131/1/012011/pdf
DOI  :  10.1088/1757-899X/131/1/012011

来源: IOP

【 摘 要 】

Digital image processing technologies have been widely applies in analyzing concrete structure because the accuracy and real time result. The aim of this study is to classify concrete slump by using image processing technique. For this purpose, concrete mix design of 30 MPa compression strength designed with slump of 0-10 mm, 10-30 mm, 30-60 mm, and 60-180 mm were analysed. Image acquired by Nikon Camera D-7000 using high resolution was set up. In the first step RGB converted to greyimage than cropped to 1024 x 1024 pixel. With open-source program, cropped images to be analysed to extract GLCM feature. The result shows for the higher slump contrast getting lower, but higher correlation, energy, and homogeneity.