The Graph Cuts segmentation algorithm is not sufficient to segment Printed Circuit Board (PCB) images with non-uniform gray level and complicated inner structure. A new interactive Local Progressive Graph Cuts (LPGC) segmentation method that modeled local constrained energy into a graph cuts framework was presented in this paper. The local constrained energy was adaptively generated by modeling the users additional information behind the interaction, such as the location of the seed, the class of the seed and the relative position between the seed and previous result. Through a comparison of different PCB image segmentation experiments, the results demonstrate the proposed method has better performance compared with the-state-of-art method such as graph cuts in terms of segmentation accuracy, controllability, and user experience.