Application of machine vision technology for video recordings of the combustion process of energetic materials

This paper describes the image processing method based on machine vision technologies for automatic analysis of frame sequences that demonstrate combustion process of aluminum nanopowder registered using high-speed digital camera. This method was tested with two following sequences: frames registered using imaging in self-lighting of the combustion process of aluminum nanopowder and frames registered using imaging with laser illumination of the same process as well. For image processing a set of different combinations of methods was applied to compute the binarization threshold. This approach allows to get valuable pixels; therefore, it has been used to highlight the combustion area on the sample images. The obtained results of the proposed imaging and data processing methods implemented by the research team that was applied on video records of high-energy material combustion process. These results demonstrates that the technique may be in high demand for issues related to the automatizing researches of high temperature combustion process and to obtain significant data about the process such as propagation speed of the combustion front, boundaries determination of the low-temperature and high-temperature combustion stages, identification of the process characteristic features. The future researches will be focused on the design and implementation of data processing pipelines and the processing of complex frame sequences of the multicomponent compositions combustion process.