The conventional methods of edge detection have good effect on clear image, but are sensitive to noise. Though Mallat used multiresolution wavelet to detect edge of noisy images, it was not effective for much noisy image.
传统的检测方法对清晰图像的边缘检测效果很好,但对噪声相对敏感,尽管Mallat用多尺度小波变换来压制噪声,可是对于有大量噪声的图像,边缘检测效果并不好。
参考来源 - 基于Gabor与小波的边缘检测理论、快速算法与实时应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
In this paper, we use multiresolution wavelet decomposition to track the latency of the visual evoked potentials.
本文提出利用多分辨率子波分析技术来实时监测视觉诱发电位的潜伏期。
The data compression effect of multiresolution wavelet analysis can improve the efficiency of energy method, and energy method can deal with boundary constraints.
利用多分辨分析的数据压缩作用来提高能量法的效率,利用约束能量法来处理边界约束。
The hierarchical multiresolution wavelet analysis in conjunction with the contextual information of the image extracted from GMRF results in local features of the image.
在图像的多分辨率小波分析的基础上 ,采用高斯 -马尔可夫随机场模型来描述图像的局部特征 。
应用推荐