A novel structured light technique is proposed in which the strip-edge-based structured light coding strategy is used to generate the projection patterns for reducing the area of oversaturation in an image captured using a camera. The structured light images are captured using both long and short exposure time during a single measurement to avoid image saturation. The long exposure time is used to obtain high-quality images of dark areas, whereas the short exposure time is used to obtain high-quality images of saturated areas. Furthermore, in the short exposure stage, the intensity relation between the projected image and the captured image is estimated by fitting a nonlinear function, and the saturated pixels in the captured image are adaptively adjusted to correspond to the pixel intensities in the projected image. Subsequently, the short- and long-exposure images are combined to form a set of fringe images with a high signal-to-noise ratio, and new images are decoded to achieve accurate three-dimensional measurement. The experimental results denote that the proposed structured light technique exhibits high measurement accuracy for object surfaces denoting a large range of reflectivity variation, including stainless steel surfaces.