Target recognition of household service robot based on shape moment invariants

Target recognition technology is a difficulty in the research field of household service robot. In this paper, connected domains are picked out on the basis of color image segmentation, denoising and graying. The algorithm has improved through shape moment invariants and weighting Euclidean distance. The experiment results show that this algorithm is not sensitive to the light conditions and the perspective of camera. Furthermore, this algorithm has big advantage to distinguish objects with similar color and it is efficient, accurate and robust.