This article presents the preliminary results of the implementation of artificial vision and image processing techniques in order to obtain conventional parameters to characterize asphalts such as the expansion ratio (ER by -Expantion Ratio) and the halflife (HL by -Half Life), in addition to unconventional parameters such as the collapse curve and the bubble size distribution (BSD by -Bubble Size Distibution) of an asphalt foam. The ER and HL can be obtained from the collapse curve, therefore, to estimate this curve, a 2D method based on the image geometry is proposed. For the estimation of the bubble size and therefore the BSD, a method based on Maximally Stable Extremal Regions is proposed. The results indicate that the method for height estimation gives good results for what is valid and in terms of estimating the bubble size, the method works, but requires adjustments to obtain better results.