Image space analysis has proved to be instrumental in unifying several theories, apparently disjoint from each other. With reference to constraint qualifications/regularity conditions in optimization, such an analysis has been recently introduced by Moldovan and Pellegrini. Based on this result, the present talk is a preliminary part of a work, which aims at exploiting the image space analysis to establish a general regularity condition for constrained extremum problems and discuss some of its applications.