摘要
B超图像的伪彩色增强在医学临床诊断上具有重要意义。该文提出了一种对灰度级-彩色变换法中分段传递函数阈值重新划分的新算法。该算法首先利用改进的K均值聚类算法对图像的灰度值进行聚类,再根据聚类各簇的灰度值阈值重新设置分段传递函数的节点。通过实验对比,该算法处理后的图像轮廓更清晰,层次感更强,能有效地突出病灶区,有利于医学诊断。
The enhancement of pseudo-color in B-Scan ultrasonic images is significant to medical diagnostics.A new method is presented to re-divide the function fields transferred in segments during the gray-color transformation.In this method,the values of gray image are first clustered based on the improved K-means Algorithm.Then the nodes of segment transfer function are reset according to the value of each grey cluster.By comparing the experiment results,it can be seen that the images processed using this method is much clearer and more gradational and the focus part can be displayed effectively for medical diagnostics.
出处
《工程图学学报》
CSCD
北大核心
2010年第4期87-93,共7页
Journal of Engineering Graphics
基金
徐州建筑职业技术学院基金资助项目(JYA3-10)
关键词
计算机应用
图像增强
灰度级-彩色变换法
B超图像
computer application
image enhancement
gray-color transform technique
B-scan ultrasonic images
