3D Otsu threshold segmentation method based on iteration and dimensionality decomposition

The invention provides a 3D Otsu threshold segmentation method based on iteration and dimensionality decomposition, and the method comprises the steps: 1, carrying out the denoising preprocessing of a source image through employing local Laplacian filtering, and obtaining a smooth layer of the source image; 2, designing an iteration-based 1D Otsu threshold segmentation method, and iteratively searching sub-regions in the image to realize image threshold segmentation; and 3, decomposing three components (a pixel gray value, a neighborhood mean value and a neighborhood median) of the 3D Otsu histogram, respectively searching optimal thresholds of the pixel gray value, the neighborhood mean value and the neighborhood median by adopting an iteration-based 1D Otsu method, and taking a mean value of the three as a final optimal threshold to realize 3D Otsu threshold segmentation of the image. According to the method, through dimensionality decomposition, the operation efficiency of the 3D Otsu can be effectively im