The existing salient object extraction algorithms had high time complexity and didnt take the integrity of the objects into account

and a salient object extraction algorithm is proposed

which is adaptive to the resource-constrained environment.The mathematic model of sparse representation is built.The corresponding relation between the salient objects and spare representation

edge energy approximation pattern among regions

and gradual change pattern between adjacent regions are induced.The candidate regions are determined based on the relation

and the salient objects are locally extracted based on gradual change pattern and edge energy approximation pattern.The contrast experiments indicate that the salient objects are captured accurately and the integrity of the salient objects are well-kept under given conditions with the proposed algorithm.