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In the artificial intelligence surroundings, the saliency of the three-dimensional picture is detected and analyzed, and the multi-dimensional segmentation and gray histogram of the high-resolution fine-grained three-dimensional image are reconstructed through the subspace segmentation method. The simulation results show that this technique has an excellent effect on 3D image reconstruction, and the time value of image reconstruction is comparatively shor The cross-gradient sharpening detection methodology is used to gather options and extract information from high-resolution fine-grained three-dimensional images, and set up an edge contour function detection mannequin for high-resolution fine-grained three-dimensional photographs. Finally, the accurate detection and recognition of the reconstructed image is realized. Combining the salient function analysis method and the subspace function analysis technique to cluster and analyze the high-resolution fine-grained three-dimensional image. According to the reconstruction outcomes of the gray histogram, fast 3D image reconstruction and image fusion processing are carried out.