First , wavelet was widely used in image processing due to its multiresolution or multiscale analysis property 首先,由于小波分析由于具有多分辨或多尺度特性,在图像处理方面得到广泛应用。
Wavelets have found wide applications in image processing due to the multiresolution or multiscale analysis property 小波分析由于具有多分辨或多尺度分析特性,在图像处理方面得到了广泛应用。
The author proposes a textured image segmentation algorithm which is based on multiresolution wavelet and gaussian mixture models 提出了一个基于多分辨率小波采样和高斯混合模型的纹理图像分割方法。
At first , methods based on geometry analysis for multiresolution representation , simplification and rendering of terrain models are investigated 论文首先研究了基于几何分析的地形多分辨率表示、简化和绘制方法。
Wavelet multiresolution analysis technique was used in the process of infrared mammography de - noising and enhancing to improve image quality 摘要将小波的多分辨率分析技术运用到红外乳腺图像的降噪增强处理以改善图像质量。
Within this framework , the approach for integrating multiresolution representations of terrain geometry and terrain texture data is presented 在该框架下有效地融合了地形的几何连续层次多分辨率细节模型和纹理的多分辨表示。
After strict tests , we find that multiresolution analysis based on wavelet transform can improve the effect of the method of fourier transform 然后在此基础上,通过引入小波变换,利用小波变换的多分辨率分析来进一步改善效果。
The locality of the index is inherited from sierpinski curve . further we organize the data as multi layer and each layer data is of multiresolution 渊度数据的局部连贯性由sierpinski填充曲线来保证,且与三角形的剖分相一致。
Curvelet transform and contourlet transform are two new multiresolution geometry analysis ( mga ) methods which can represent images most effectively Curvelet变换和con - tourlet变换是两种新的能够最优表示图像的多尺度几何分析方法。
Its simplification and multiresolution representation is an important research topic in computer graphics , especially useful in many applications 多边形模型是图形学中最重要的模型表示形式。它的简化和多分辨率表示有重要的应用价值。