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一个具有纹理渲染的立体彩色铅笔,可以实现三维空间的自由旋转。-Texture rendering a three-dimensional color pencils, three-dimensional space can rotate freely.
Date : 2026-01-11 Size : 150kb User : 晁艳普

两个具有纹理透明渲染效果的立体彩色茶壶图案,两个茶壶相互融合效果很美!-Two texture rendering transparent three-dimensional color teapot patterns, the effect of mutual integration of two very beautiful teapot!
Date : 2026-01-11 Size : 91kb User : 晁艳普

PAV (H265) 是 音视频 压缩解压 协议,非常不同于H264/MPEG4,ZPAV (H265) 的基本算法 是 小波,多级树集合群,广义小波,数学形态小波,...... ZPAV (H265) 基本算法 : 1,图象与声音分解与合成 :小波 ; 2,图象与声音前处理 :小波子带零交叉降噪,目标纹理处理,语音处理 ; 3,速率控制 :小波子带熵速率控制 ; 4,量化与反量化 :小波子带熵量化与反量化 ; 5,低频分量和高频分量的降维 :小波子带邻域交叉降维 ; 6,运动矢量和量化表的分解与合成 :广义小波 ; 7,位面编码 :数学形态小波,多级树集合群,嵌入零树,位面降维 ; 8,位流编码 :算术编码,熵编码 ; 9,运动估计 :宏块最优决策,运动矢量预测 ; A,运动搜索 :钻石,大钻石,小钻石,方形 ; B,图象与声音后处理 :低通滤波,断点重构,宏块平滑 ; C,误码纠错 :矢量仿真,帧间仿真 。 -The PAV (H265) is the audio and video compression and decompression protocol, is very different from H264/MPEG4 ZPAV (H265) algorithm is a wavelet, multi-level tree collection group, and generalized wavelets, mathematical morphology, wavelet, ... ZPAV (H265) algorithm: 1, image and sound decomposition and synthesis: wavelet 2, image and sound processing: wavelet sub-band zero-crossing noise, target texture processing, speech processing 3, the rate control: wavelet subband entropy rate control 4, quantization and inverse quantization: Wavelet subband entropy quantization and inverse quantization 5, the dimensionality reduction of the low frequency component and high frequency components: the wavelet subbands neighborhood cross-dimensionality reduction 6, the decomposition and synthesis of the motion vector and quantization tables: generalized wavelet 7, bit-plane coding: the mathematical form of wavelet multi-level tree collection group, embedded zerotree, bit plane
Date : 2026-01-11 Size : 4.6mb User : 李阳

common:包含有MPEG-4的视频CODEC和视觉纹理CODEC config:系统配置文件 include:工程所包含的头文件 lib:编解码需用到的lib库文件 player:MPEG-4播放器 server:编码器和网络视频服务器 util:视频、音频应用程序-common: contains the MPEG-4 video CODEC and visual texture CODEC config: system configuration files include: project contains header files lib: codec required to lib library files player: MPEG-4 player server: encoder and Network video server util: video, audio application
Date : 2026-01-11 Size : 5.98mb User : windy

Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.
Date : 2026-01-11 Size : 6.95mb User : ilam

基于mfc的opengl编程,三维建模,鼠标键盘控制并且纹理着色-Based on the mfc opengl programming, 3D modeling, mouse and keyboard control and texture shader
Date : 2026-01-11 Size : 5.75mb User : 7号精灵

coding for Texture smoothing
Date : 2026-01-11 Size : 13.67mb User : Gayathri

coocurence matrix implementation, coocurnce matrix is used for texture analysis-coocurence matrix implementation, coocurnce matrix is used for texture analysis
Date : 2026-01-11 Size : 3.05mb User : hamza

a new mathematical and algorithmic framework for unsupervised image segmentation, which is a critical step in a wide variety of image processing applications. We have found that most existing segmentation methods are not successful on histopathology images, which prompted us to investigate segmentation of a broader class of images, namely those without clear edges between the regions to be segmented. We model these images as occlusions of random images, which we call textures, and show that local histograms are a useful tool for segmenting them. Based on our theoretical results, we describe a flexible segmentation framework that draws on existing work on nonnegative matrix factorization and image deconvolution. Results on synthetic texture mosaics and real histology images show the promise of the method.
Date : 2026-01-11 Size : 2.63mb User : bala

基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.-Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.
Date : 2026-01-11 Size : 9.63mb User : Dr_wong

texture feature extraction insert into on the basis of rgb colore image clustering methods-texture feature extraction insert into on the basis of rgb colore image clustering methods
Date : 2026-01-11 Size : 1kb User : Neelima

Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in addition to be computational expensive, it has the limitation to very often lead to a local minimum because of the energy functional to be minimized is non-convex. In this work, we use the geometric active contours and the image thresholding frameworks to design a novel method for global image segmentation. The local lattice Boltzmann method is used to solve the level set equation. The proposed algorithm is therefore effective and highly parallelizable. Experimental results on satellite, natural and medical images demonstrate the effectiveness and the efficiency of the proposed method when implemented using an NVIDIA graphics processing units The present Matlab code is the implementation of our work. For using: 1- Open the main code (TAFGLSE.m), 2- Put the adress of the image you w
Date : 2026-01-11 Size : 517kb User : 许雄文
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