基于平滑性测度的直方图自适应模糊增强图像分割

Image Multi-thresholding Method Based on Fuzzy Adaptive Enhanced Histgram by Region Smoothness Measure

本文提出了一种新的基于平滑性测度的直方图自适应模糊增强图像分割方法。该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。实验表明，该方法对强噪声图像具有良好的分割效果。

A new image multi-thresholding method based on fuzzy adaptive enhanced histgram is presented. By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method. Finally, two experiments have been given with satisfactory results.