改进的模糊阈值图像分割方法

提出了一种自适应的模糊阈值图像分割方法，通过预分割和直方图信息相结合的方法，解决了传统的模糊闽值图像分割法难以自动获取窗宽的困难；并针对模糊闽值图像分割方法不能适用于直方图呈单峰分布的图像的缺陷，提出了一个新的平滑迭代公式。该平滑迭代公式利用像素点的邻域信息使图像增强，再使用自适应的模糊阈值图像分割方法进行分割，可以拓宽模糊阈值图像分割方法的适用范围。实验结果表明，使用该方法的目标分割正确率达97.3％，显示了较高的分割精度和较强的鲁棒性。

Improved method for image thresholding based on fuzzy index

To solve the problem of automatically getting the window size with traditional segmentation method, an adaptive method for image thresholding based on index of fuzziness is proposed by combing pre-segmentation with histogram information. Furthermore, in order to segment images with one mode histograms by image thresholding based on index of fuzziness, a new smooth iteration formula for image enhancement with neighborhood information of pixels is proposed, Through the iteration formula and adaptive method for image thresholding based on index of fuzziness, the applicable range of image thresholding based on index of fuzziness is expanded, Experiment result shows that with this method, the accuracy of target segmentation can be up to 97.3% and the performance shows good robustness,