【摘要】 提出了一种基于模糊逻辑理论的医学图像边缘检测的增强算法.该方法采用S函数作为隶属函数,实现空间域与模糊域之间的转换;在模糊域中采用幂次变换对图像进行对比度增强,最后再通过逆模糊化过程将数据映射到空间域中,得到增强后的图像.实验表明,针对所要处理的医学图像,与几种经典的处理方法相比,所提出的方法使增强后的图像能显示出更完整的边界信息.更多还原

【Abstract】 An image enhancement method for edges detection in medical image,based on fuzzy logic,is proposed.S-function is used as membership function in fuzzification process to transform the preprocessed images data into fuzzy input values.Then,contrast manipulation using power-law transformation is performed on the fuzzy sets.Finally,the defuzzification is performed to obtain a crisp output.Comparing with some classic methods,experimental results of different images show the effectiveness of the proposed method.更多还原