It introduces the features of wavelet transform, inducting the directional wavelet to realize characteristic pick-up of image. It gives the results of characteristic identification of character-figure for directional wavelet.
分析了小波变换的特点,引入方向小波来实现图像的特征提取,并给出方向小波变换在字符图形识别的结果。
参考来源 - 小波变换在图像处理中的应用We use the improved algorithm to the detection of small targets. The experiment and theory both indicate that the algorithm of targets detection based on direction wavelet have high precision, strong antinoise and good real-time characteristic.
基于此,本文研究了基于方向小波变换的边缘检测算法,为了避免得到的边缘线过粗,在边缘点的判断准则和各方向边缘图像的融合方法上也做了改进,并将改进后的算法运用于红外弱小目标检测,无论理论分析还是实验结果均表明基于方向小波变换的目标检测算法具有精确度高,抗噪性强,实时性好的优点。
参考来源 - 复杂背景下的红外弱小目标检测Directionalet is a new image processing technology proposed based on the Multi-scale Geometric Analysis(MGA).
方向小波是在多尺度几何分析(MGA)的思想下产生的一种新的图像处理工具。
参考来源 - 用方向小波域的维纳滤波图像去噪算法·2,447,543篇论文数据，部分数据来源于NoteExpress
比较了方向小波变换和传统小波变换在图像边缘检测中的不同之处。分析得出方向小波变换更符合图像的方向、纹理特征，因而更能反映图像的边缘信息。
Our analysis shows that directional wavelet transforms can better reflect the edge information of images because they better corresponds to the characteristics of image direction and texture.
海洋上大致水平方向的小波纹是表面流，图片右侧内波在海洋上划出了长长的对角线。
The tiny wrinkles running roughly horizontally across the ocean are surface waves. Internal waves paint long diagonal lines across the ocean on the right side of the image.
方向性小波理论为图像处理提供了一种新的稀疏表示方法，能够更有效地捕捉图像中的几何结构。
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
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