Adaptive fringe projection algorithm for image saturation suppression

For three-dimensional (3D) measurement of the products with specular reflection, a new adaptive fringe projection algorithm is proposed in this paper. We introduce a new algorithm to generate adaptive intensity coefficient template based on two additional images. Since the adaptive intensity coefficient template is on the camera image, it needs to be transformed to the projector image. To this end, we establish the pixel mapping between the projector image and the camera image based on two additional fringe sequences, and propose a new pixel mapping correction algorithm for intensity saturation surface based on linear interpolation. Next, adaptive projection fringes can be obtained based on pixel mapping and adaptive intensity coefficient template. Experiments conform that the proposed algorithm can more effectively correct the measurement error caused by intensity saturation than the existing state-of-the-art algorithms. In addition, compared with the existing state-of-the-art algorithms, it requires less additional projection fringe patterns, which greatly improves the measurement efficiency. The proposed algorithm is unique in that it proposes a novel adaptive intensity coefficient template generation algorithm and a pixel mapping correction algorithm based on linear interpolation, which reduces the saturation-induced error and improves the measurement efficiency.