We propose in this article a corner detector algorithm, which leads to results both on mono-spectral and multi-spectral images. To validate the method, we compare its mono-spectral version to Harris detector, which is the most frequently used in literature. This study shows that the proposed method gives generally more efficient results. However, bad localizations appear for very blurred images (as for most corner detectors). Therefore, we have implemented a sub-pixel detector able to find the exact corner position.