Outdoor insulators of the high voltage power networks usually expose to various weather conditions which include contaminations, rain, fog, and dew during their service life. These conditions cause an intensification in the insulators surface conductivity, hence a leakage current (LC) is created on the insulator surface. If this LC exceeds a certain limit, it causes a complete flashover on the insulator string of high voltage transmission line. Accordingly, a complete cut-off of the electricity feeds for the consumers occurs. So, in this paper, a novel technique for utilizing the Ultraviolet (UV) images is presented to estimate and measure the LC intensity. It is based on capturing images by the ultraviolet camera of the corona formation on the insulator surface. Then, these pictures were analyzed using image processing analyzer. After that, an adaptive neuro-fuzzy technique was applied to find the approximate value of LC from the analyzed data. As a result, the obtained values of the LC from the suggested method were almost matched with the values obtained from the direct measurement method, where this technique was scientifically and mathematically analyzed.