中文摘要：

在胃部图像边缘检测问题研究中,噪声影响着检测的准确性。针对图像受噪声的影响而导致边缘提取效果不佳的问题及传统边缘检测算法抗噪性差,提出了一种采用联合技术的小波阈值去噪和改进的数学形态学边缘检测算法,在小波域中利用小波阈值对胃部图像进行去噪处理,并用改进边缘检测算法对去噪后的图像进行边缘检测,得到胃部边缘图像。结果表明,改进算法不仅抑制了图像噪声,而且保护了图像边缘细节,相对传统边缘检测方法有更高的信噪比。

英文摘要：

On the edge detection research of stomach image,the noises affect the accuracy of detection,on the other hand,the traditional edge detection algorithms are sensitive to noises,so a new edge detection algorithm was proposed based on wavelet threshold de-noising which uses combined technology and improved mathematical morphological edge detection algorithm. Firstly,the wavelet threshold of the wavelet domain was used to de-noise the stomach image. Secondly,a improved edge detection algorithm was used to denoised image and then form the stomach edge image. Experimental result shows that the improved algorithm can not only suppress the image noise,but also retain the image edge details. Compared with traditional edge detection methods,the new method has a better signal-to-noise ratio.