摘要
文章根据B型超声波本身所具有的图像灰度特性,首先引用模糊数学的集合理论预处理图像,用像素的相对灰度等级作为图像的模糊特征,在对B超图像的灰度范围作灰度线性变换和中值滤波的基础上,再采用模糊算法实现B超图像的模糊增强处理。实验结果表明,合理选择分界点Xc和调节模糊参数Fp可显著提高图像的增强效果。
Image enhancement is a digital processing method for further enhancing image features,and the aim is to enhance the usability of images. According to the gray properties of B-mode images,the images are preprocessed firstly with fuzzy concepts,and the relative gray grade of pixels is selected as the fuzzy feature. Then on the basis of gray linear transformation and median filtering, fuzzy enhancement of B-mode images is realized by using the fuzzy algorithm. Experimental results show that remarkable enhancement effect is obtained by reasonably choosing the point of delimiterX_cand adjusting the fuzzy parameter F_p.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第7期768-771,共4页
Journal of Hefei University of Technology：Natural Science
关键词
B超图像
图像增强
模糊增强
特征平面
平滑处理
模糊特征
<Keyword>B-mode image
image enhancement
fuzzy enhancement
feature face
smooth processing
fuzzy feature
