Estimated the amount of air void in concrete using image processing technique

Image processing methods have been widely used in civil engineering recently. Image processing is reproducing the processes people got via their own vision system by digitizing. The aim of this study is to define air void values of different concrete specifies with image processing methods. With this purpose seven different concrete series have been produced by using different water/cement rates. Physical and mechanical tests have been applied on the samples acquired. Additively air void ratios have been calculated after section images obtained from hardened concrete surfaces are processed. Relations between the results obtained as a result of image processing method and pressure resistance values of the acquired concrete samples have been examined. Consequentially it has been observed that air void values in the concrete obtained by using image processing techniques may be estimated with a high correlation