搜索资源列表
image resampling
- %This is a simple function that resamples the image %at a different pixel size function nimg = imresample(oldpixsize,img,newpixsize,intmethod) % This function resamples the images at the new grid points % defined by the new pixel sizes. It
denseSift.extract dense sift for each image patch
- extract dense sift for each image patch, because no salient keypoint detection and rotation normalization, it is very efficient.,extract dense sift for each image patch, because no salient keypoint detection and rotation normalization, it is very eff
Image-Processing-Lab.rar
- C#实现图像自适应二值化 该图像处理工具箱包含了一系列的图像处理，包括很多滤波及AForge.NET框架下提供了图像分析功能。自适应二值化（简单的图像统计）,C# Adaptive Image Binarization of the image processing toolbox contains a series of image processing, including many filtering and AForge.NET provided under the framewor
matlab-image-fusion.rar
- 图像融合结果的评价参数m文件，用于一般图像参数评价,matlab-image-fusion
Image.rar
- matlab 关于二值图像熵和交叉熵的计算程序,这一程序与结合其它方法对图像进行分割,作为一个判断标准.,matlab on the binary image entropy and cross entropy calculation procedure, which in combination with other methods and image segmentation, as a criterion.
LBP-SIFT-image-matching-algorithm-combined
- SIFT和旋转不变LBP 相结合的图像匹配算法(数字图像处理/图像匹配）-SIFT and LBP combined rotation invariant image matching algorithm (digital image processing/image matching)
image
- 基于Matlab GUI的图像处理的基本方法的整合，包括直方图、滤波、小波、水印、分割等等，参数自由可调，重要代码有详细注释，完全原创，上传交流-Matlab GUI for image processing based on the basic methods of integration, including histograms, filtering, wavelet, watermarks, split, etc., free adjustable parameters, an impo
An.Image.Mosaic.Algorithm.Based.on.Matching.Shape.
- 提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点，利用归一化梯度模板对 其进行预 匹配．然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ，获取模板 图像的 结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature po
Vc.shows.image.control
- Vc显示图像控件设计经典代码Vc shows the classic design of the code image control -Vc shows the classic design of the code image control
image similarity
- 图像相似度检测，下面是直方图相交的代码，同种图片的识别率达90％以上，性能非常稳定。 程序的例子是8位（256色）位图，其他位图类似。 -Image similarity detection, the following is the histogram intersection of the code, the same kinds of picture identification rate of 90, performance is very stable. Procedure
image-mosaic-and-warp
- 此文件包是自动实习图像配准的matlab源码，同时可以显示图像翘曲和仿射的效果。-This training package is automatically matlab source code image registration, and can display images and affine warping effects.
image-matching
- 图像匹配，通过选定模板图像和要要匹配的图像，在要匹配的图像中用红色方框标记处匹配的区域。-Image matching, through the selected template image and want to match the image, to match the image using the red mark at the box matches the area.
Image morphing
- Image Morphing, using matlab
image-dehazing-based-on-opencv
- Kaiming He, Jian Sun, Xiaoou Tang. Single Image Haze Removal Using Dark Channel Prior 大致内容是提出了一个叫做暗原色先验的东西来对有雾图像进行处理，十分巧妙，有兴趣者可以看看。这里使用OpenCV实现文中的去雾算法，然而论文提到的soft matting未在本程序中实现。 -This is a source code of paperKaiming He, Jian Sun, Xiaoou Tang
Digital.Image.Processing
- 数字图像处理 直方图修正 空间域平滑 空间域锐化 梯度倒数加权平滑法 中值滤波 多种算子锐化 灰度最相近的6个邻点平均法-Histogram correction of digital image processing spatial spatial smoothing sharpening Gradient Inverse Weighted Smoothing median filter operator sharpening a variety of gray nearest neighbo
Image-Edge-Detection-Using-Ant-Colony-Optimization
- This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," 基于蚁群算法的图像边缘检测。IEEE于2008收录的文章.有matlab源程序和“An Ant Colony Optimization Algorithm For Image Edge Detectio
Image-Segmentation
- 一个基于图形的高效图像分割算法，包括论文及相应的源代码。-This paper addresses the problem of segmenting an image into regions. We define a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develo
Matlab-Code-for-Image-Representation
- 附件程序为图像稀疏表示的源代码，程序用matlab编写，能正常运行。-Sparse representation of the image attachment program source code, programs written with matlab able to function properly.
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
SuperResolution+Image+Reconstruction+A+Technical+O
- 可以说是图像超分辨率重构中最重要的一篇文章，一篇经典的综述-It can be said that the image super-resolution reconstruction of the most important article, a synthesis of classical