一种基于Gabor滤波器的超声图像边缘检测方法

针对检测超声图像的边缘问题，介绍了一种基于Gabor奇部滤波器进行边缘检测的综合方法。为了去除图像噪声，首先进行基于小波变换和中值滤波的降噪处理，然后利用高斯函数平滑图像。在边缘检测过程中，使用Gabor奇部滤波器检测边缘。最后，使用非最大值抑制得到最终结果。结果表明该方法是对超声图像进行边缘检测的一种有用方法。当然，该方法也具有普遍性，可以应用到其他图像。

Edge detection in ultrasonic images based on odd gabor filters

In order to better edge detection in ultrasonic images, a systemic method based on odd Gabor filter was presented. First, the wavelet and median filter based denoising was adopted in order to remove the speckle noise in ultrasonic images. Then smooth the image with Gaussian smooth filter. In the edge detection process, the wavelet transform using odd Gabor filters was applied. Finally, the nonmaxima suppression was used to get the final result. The result reveals that the proposed method is a useful method for edge detection in ultrasonic images. Also, the method is general and can be applied to other images.