搜索资源列表
DCT---
- DCT变换的水印嵌入和提取 根据相似性的值就可以判断图像中是否含有水印-DCT watermark embedding and extraction according to the similarity value can determine whether it contains a watermark image
code
- 图像自相似特征提取功能。最新的自相似判别算法，对图像分割、图像匹配等应用很有帮助-Image self-similarity feature extraction functions. The latest self-similar discrimination algorithm, image segmentation, image matching applications such as helpful
The-detection-of-traffic-lights
- 交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先，建立交通信号灯的高斯模型，利用高斯向量与多色彩空间结合的方法进行图像分割。然后，采用基于区域增长与相似性判定的关联滤波，对色彩分割后的图像进行处理。最后，使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征，并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights
An-ImageMatching-Algorithm
- 学术论文，介绍了一种采用方向信息提取图 像边缘,然后采用修正后的Hausdorff距离构造 相似性测度进行图像匹配的方法。-Papers, a direction information image edge extraction, and then using the Hausdorff distance in the revised construct a similarity measure for image matching method.
SSIMSrc-0.24
- the equivalent of Zhou Wang s SSIM matlab code //with K1 = 0.01, K2 = 0.03 and windows = ones(8) since this enables a fast implementation using summed area tables. //the measure is described in "Image quality assessment: From error measurement to
ssim_index
- 求图像的结构相似度,或是立体图像，甚至是视频，很有用哦-structure similarity of image or steoro images
FFull_Search_o
- 用于图像检索的特征提取，相似性性检索等等之类的功能可直接使用。 -Feature extraction for image retrieval, similarity retrieval, and so on like the feature can be used directly.
xuguanxiangshijiance
- 图像进行序贯相似检测算法，通过模版，可以进行图像的匹配。-Image sequential similarity detection algorithm, the template match the image.
ImageSearch.Designer
- 基于颜色的图像检索：根据导入的一组BMP图像对其关键图进行颜色的相似检索-Color-based image retrieval: a set of BMP images imported color key in Figure similarity retrieval
SSIM
- 此程序为matlab函数，实现用结构相似性（SSIM）准则评价图像，与峰值性噪比的作用类似。-This program is a matlab function, and criteria for evaluation of structural similarity (SSIM) image acts like a peak-noise ratio.
boxingpipei
- 波形匹配算法，为了获得完整的指纹图像，提出一种基于波形匹配的指纹图像帧序列拼接算法．该算法从每个图像帧的参考区域提取波形信息，通过计算波形相似度并引入逐步求精的拼接策略，分3个阶段获得拼接参数，确定图像帧之间的重叠和水平移位．实验结果表明，文中算法运算量小、运算速度快、占用系统资源少，特别适用于资源有限环境中的自动指纹识别系统．-Waveform matching algorithm, in order to obtain a complete image of the fingerprint,
NLMeans
- 非局部均值滤波 输入: 待平滑的图像 t: 搜索窗口半径 f: 相似性窗口半径 h: 平滑参数 NLmeans(ima,5,2,sigma)-Non-local mean filtering input: to be a smooth image t: the search window radius f: similarity of the window radius h: smoothing parameter NLmeans (ima, 5,2, s
peizhun
- 此程序可以实现对图像进行配准，所采用的相似性测度包括归一化互信息，互信息等多种测度，同时包含多种测试程序。-This procedure can be achieved for the image registration, using the similarity measure of the mutual information, normalized mutual information, and many other measure, contain both a variety of
bmpSearch
- 实现基于颜色的图像检索，检索结果按相似度进行排序，通过点击结果路径，能够查看相应图片-Color-based image retrieval, the search results are sorted according to the similarity be able to view the pictures by clicking on the result of the path,
Computation_of_Mutual_Information
- 【摘要】 基于互信息的配准方法是医学图像配准领域的重要方法。互信息是图像配准中常用的相似性度量,具有鲁棒、精度高等优点,但基于互信息的配准计算量大,制约了它的实际应用。我们采用基于多分辨率和混合优化策略的配准方法,在图像的不同灰度等级数下进行配准,分析了互信息的计算量与灰度等级数的关系,并用人头部的MRI图像和CT图像做了二维的单模模拟实验和多模实际配准实验,结果显示在灰度等级数为32和64时,与灰度等级数为256时相比,配准精度没有明显改变,而计算量下降显著。-Abstract Registr
FSIM
- 基于图像内容结构、相位相似性的图像质量评价算法（FSIM）-FSIM: image structure and congrency similarity based image quality assessment
FCM_clust
- 本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法，它的思想是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。最后基于MATLAB实现了对图像信息的聚类。- This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm b
watermark
- 基于DCT域音频水印完整源代码，包括水印图像的预处理（二维二值图像Arnold变换、混沌加密、降维），水印的嵌入提取以及检测，信噪比和相似性系数。-Based on the the DCT domain audio watermarking complete source code, including the watermark image preprocessing (two-dimensional binary images Arnold transform chaotic encrypt
Shape-matching-with-Zerinike-moments
- 结合Zernike矩的多尺度模板形状匹配，该算法对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形 状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike矩，利用Zernike矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-Shape matching based on multi-scale template with Zerinike moments，The object shape representation is convert
New-Folder-(4)
- In this research two automatic video annotation techniques are considered. The first technique uses ontology to reduce the semantic gap during video retrieval and other performs a group based image retrieval using video files. The proposed algorithm