基于空间截面投影的Otsu图像分割算法

Otsu thresholding method based on projection of cross section for image segmentation

针对传统三维Otsu法存在抗噪性差、计算复杂度高、难以多阈值扩展等不足,提出了一种基于空间截面投影的Otsu法。该方法采用垂直于主对角线的平面截三维直方图,并将截面内的点投影到主对角线上,进而建立一维的截面投影直方图以降低计算复杂度,然后基于该一维直方图进行Otsu分割;对于分割结果,运用基于阈值的后处理策略做进一步的处理以增强算法的抗噪性。实验结果表明,与现有三维Otsu法相比,该算法计算效率高、抗噪性好,能对含不同噪声的图像进行较好的分割。

Due to the disadvantages existing in the conventional three-dimensional Otsu （3D Otsu） method, such as poor anti-noise capability, high computational complexity and difficulty to extend to multilevel thresholding, a new Otsu thresholding method based on projection of cross section was proposed. A plane perpendicular to the main diagonal is used to cross the 3D histogram. Then the projections to the main diagonal from the points in the cross section, are used to establish a new histogram. Based on the histogram, the image can be segmented by 1D Otsu. In order to further enhance the anti-noise capability, the post-processing strategy based on threshold is applied to the processed image. The experimental result shows that this method has significant improvements in computational efficiency and anti-noise capability, and can segment the images corrupted with different noises well.