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SimNatureExe
- 实现大规模室外场景渲染技术,本程序使用基于严格的四叉树的方法建立一个LOD算法,并用该LOD算法实现了一个视点相关的动态多分辨率地形。采用多遍地面纹理,亮度图等技术来照明场景。同时DEMO还实现了Billboard,运动模糊,的功能。程序采用C++,模块化的结构让程序具有很高的可扩展性。 -achieve large-scale outdoor scene rendering technology, the use of procedures based on strict quadtree
smlib
- SimNatureExe代码补丁本程序使用基于严格的四叉树的方法建立一个LOD算法,并用该LOD算法实现了一个视点相关的动态多分辨率地形。采用多遍地面纹理,亮度图等技术来照明场景。同时DEMO还实现了Billboard,运动模糊,的功能。程序采用C++,模块化的结构让程序具有很高的可扩展性。 -SimNatureExe patch the code to use based on the strict procedures of the quadtree methods to establi
comparewav
- 图象多尺度分析,可与多分辨方法进行比较。并可输出结果。-image multiscale analysis, and multi-resolution methods. May output.
MY_LOD
- 三维地形的可视化,分形理论生成地形,多分辨率显示!-3D terrain visualization, fractal theory generated terrain, multi-resolution display!
LOG_filter_distill_edge
- 数学形态学提供了一种以形态或集合论为基础对图像进行分析理解的工具。可以用来去除噪声、抽取骨架、插补、分割、多分辨率分析、匹配等。 包括四个主要的算符:扩张(膨胀)○+,腐蚀○-,开○,闭●- Mathematics morphology has provided one kind carries on the analysis understanding take the shape or the set theory as the foundation to the picture
Morphological
- 内含3篇论文(英文),主要介绍了数学形态学,形态学金字塔以及基于此的多分辨率分解,构成图像处理及图像融合的一种有效方法-containing three paper (English), introduces a mathematical morphology, Morphological pyramid and that on the basis of multi-resolution image processing and constitute Image Fusion an effect
WL00
- 1 用WL00算法速度比EL99快,这里实现的是单分辨率的算法,WL00算法好象不适合结构性强的纹理的合成 2.用WL00算法合成纹理,使用多分辨率金字塔改善合成效果,但是没有用TVSQ加速算法-WL00 algorithm with a speed faster than the EL99, here is the realization of the single-resolution algorithm, WL00 algorithm does not seem to fit the
multiimagepocs
- 对多帧图像进行超分辨率处理,得到一副高分辨率的单帧度图像。-Multi-frame image super-resolution processing, get a degree of high-resolution single-frame image.
dyqmallat
- 一个关于小波多分辨率的代码,有详细的解释,并附上运行出来的结果图。是用MATLAB写的-On wavelet multi-resolution codes, there is a detailed explanation, together with the results running on Fig. Are written using MATLAB
CWIMATIFUS
- 本程序包是基于多分辨率分析的图像融合算法,其中包括基于区域的融合算法。对应程序有相关的文章,是学习图像融合最有用的资料。-This package is based on the analysis of multi-resolution image fusion algorithms, including region-based fusion algorithm. Procedures related to the corresponding articles, image fusion is
blindwatermark1
- 多分辨率水印嵌入、提取、检测;盲水印的嵌入和检测等.matalab编写。-Multi-resolution watermark embedding, extraction, detection blind watermark embedding and detection. Matalab prepared.
ImageProcessing
- 1 绪论 2 数字图像基础 3 空间域图像增强 4 频率域图像增强 5 图像复原 6 彩色图像处理 7 小波变换和多分辨率处理 8 图像压缩 9 形态学图像处理 10 图像分割 11 表示与描述 12 对象识别-1 Introduction 3 2 digital image based on spatial frequency domain image enhancement image enhancement 4 5 6 Color image p
Variable-scale-based-on-wavelet-multi-resolution.r
- 基于小波分解的变尺度多分辨率纹理分割Variable scale based on wavelet multi-resolution texture segmentation-Variable scale based on wavelet multi-resolution texture segmentation
wave
- 经过小波变换的图像具有频谱划、方向选择、多分辨率分析和天然塔式数据结构特点。基于小波变换这些特性,讨论了MATLAB语言环境下图像压缩,图像去噪,图像融合,图像分解,图像增强的基本方法。-After wavelet transform spectrum delimits, image has direction choosing, multi-resolution analysis and natural tower structure characteristics data. Based o
Multi-resolution-image-pyramid
- 图像多分辨率金字塔,很有学习及实用价值-Multi-resolution image pyramid
MULTI-RESOULTION
- 多分辨率平滑图像去噪算法的例程,主要包括小波域的sar图像处理算法(matlab)-Multi-resolution image denoising smoothing algorithm routines, including wavelet domain sar image processing algorithms (matlab)
7multi-resolution--image-fusion
- 7多分辨率分解的遥感影像融合方法对比分析 吴学文 徐涵秋 地球信息科学学报 2010-06-15 期刊-7 multi-resolution decomposition of remote sensing image fusion method comparative analysis Wu Xuewen The 2010-06-15 journals Xu Hanqiu earth information science journals
multi
- 基于小波变换的多分辨率分析语音增强代码,效果一般,可以提供一些思路-Based on wavelet transform multi-resolution analysis of voice enhancement code, the general effect, can provide some ideas
Multi-resolution-registration
- 肺部不同相位冠状面图像(CT)之间的多分辨率配准。低分辨冠状面图像纵向放大2倍,又运用BP算法提高分辨率,再进行两幅图像之间的多分辨率Active Demons配准。-Multi-resolution registration between lung coronal images of different phases via Active Demons.
multi-resolution-
- 运用高斯马尔科夫随机场进行多分辨率重建的重要文献,方法介绍很详细,欢迎大家来学习。-Use of high 斯马尔科夫 random multi-resolution reconstruction of important documents, the method described in great detail, welcome everyone to learn.