子波变换多尺度能量相关的边缘提取

针对边缘检测中抗噪能力和精确局域化的矛盾，根据信号和噪声子波变换在多尺度间的相关性不同，提出了多尺度不同方向子波变换的能量相关的边缘提取方法。首先增强了图像的垂直和水平边缘分量，再求合成图像的模量极大值，在有效地抑制噪声的前提下，保持了边缘检测的精确局域人，

Edge Extraction in Images Using the Energy Correlation of Wavelet Transform Contents at Several Adjacent Scales

Because the wavelet transform has good local performance in both spatial and frequency, it is especially suitable for edge detection in images.For resolving the conflict between denoising and local accuracy,the paper suggesed a new edge extraction method of the power correlation of different directional wavelet transform at several adjacent scales in terms of the different correlation of signal and noise wavelet transform contents.Vertical and horizonal edges in images first were enhanced,then the modulus maximum valuewas evaluated.Under denoising effectively,the detector can preserve accurate localization.That was also proved by final experimental results.