摘要
研究图像优化分割特征提取问题,医学影像图像分割速度慢,特别是图像分割后分辨率低,清晰度不高。为解决上述问题,结合数学分析方法,提出了改进的形态学医学图像分割算法。在医学图像分割之前,采用sobel边缘检测算子对图像边缘进行预处理,利用数学形态学开运算型边缘检测算子对图像边缘锐化,利用邻域平均与中值滤波方法平滑图像。最后得出最终分割后的图像。仿真结果表明,提出的算法,能够更好的保留医学图像分割的边缘信息,提高的医学图像的分辨率,具有一定的实用性为分割图像提供了参考。
Studied image segmentation feature extraction optimization.Medical image segmentation is slow,especially after the low resolution image segmentation,clarity is not high.To solve these problems,combined with mathematical analysis,an improved morphology medical image segmentation.Prior to medical image segmentation,Sobel edge operator is used to preprocess the images,the opening operation of mathematical morphology edge detection operator is used to sharpe the edges,the neighborhood average and median filter are used to smooth the images.Finally the final segmented images are obtained.Simulation results show that the proposed algorithm is better and able to keep the edge information of medical image segmentation,improves the resolution of medical images,and has a certain practicality to provide a reference for the segmented image.
出处
《计算机仿真》
CSCD
北大核心
2011年第5期299-302,共4页
Computer Simulation
基金
福建省教育厅A类科技项目(JA10226)
关键词
图像分割
医学影像
边缘检测算子
数学形态学
Image segmentation
Medical imaging
Sobel operator
Mathematical morphology
