This study proposes an invalid phase point recognition method for applications in stripe projection contour measurement technology. Based on various characteristics such as data modulation, error energy, phase continuity, and depth maps, a K-means clustering algorithm and statistical methods are introduced to automatically set relevant thresholds and help remove invalid points for complex modulation objects. Finally, continuity features are utilized to repair the misclassified effective points to avoid the erroneous removal of the effective point cloud. The experimental results show that the proposed method effectively solves the problem of removal of phase invalid points in object reconstruction with complex modulation.