Abstract: At present, most of the researches based on fringe projection profilometry(FPP) achieve object segmentation by rebuilding the whole scene or establishing the ideal experimental environment, but in real industrial scenarios, the surrounding environment is complex, and the phase obtained by directly using FPP segmentation contains a large number of invalid regions, making it difficult to achieve target-level measurement. To this end, a phase-effective region segmentation method based on fringe projection profilometry is proposed. The modulation map and the wrapped phase map complement each other′s information and are used as inputs simultaneously to effectively remove the background and shadows. The features are learned and fused through the adaptive discrete wavelet feature interaction module. The features are decomposed by using the discrete wavelet transform(DWT), and the features are decoded by using the edge-enhanced discrete cosine transform(DCT) module, thereby obtaining the target phase segmentation results with clear edges and clear structure. The results of qualitative and quantitative experiments show that the proposed method can segment the effective area of the target phase more accurately than other algorithms, verifying the effectiveness of this method in the three-dimensional measurement of the target level based on fringe projection profilometry.