摘要
边缘检测是彩色医学图像处理中一个很重要过程，传统的彩色医学图像边缘提取方法是基于ＲＧＢ（红，绿，蓝色）色度空间，但是ＲＧＢ空间不能体现人类的视觉特征，而且彩色分量的计算不能确切体现图像中目标物体的特征，并且计算量大。该文通过对ＨＳＶ（色度，饱和度，亮度）的观察，提出了基于ＨＳＶ色度空间的，应用小波分析原理对彩色医学图像进行边缘提取的方法，计算机模拟结果显示，该方法能准确快速检测出图像的边缘，处理简单，效果较好。
The edge detecting is the important procedure of the color medical image processing. The conventional edge detecting method are based on RGB(Red, Green, Blue )color space, but it doesn't reflect the features of the human vision. However, the RGB space doesn' t exactly extract features of an object and has a high computation based on the computing of the RGB components. A edge detecting of medical image applying the wavelet transform on HSV(Hue, Saturation, Value) space was presented. The computer simulation results showed that it can detect the edge of the image quickly and accuratly using the method. It has good effect, low computation and easy to do.
出处
《计算机仿真》
CSCD
2000年第6期25-27,32,共4页
Computer Simulation
基金
国家自然科学基金:No.69931010
