资源列表
bit_plan_slicing-
- this .m file describes how to slice the image into 8 layers-this .m file describes how to slice the image into 8 layers ..
Image
- this .m file describes how to apply filters on Images ( sobel , Robert ... etc )-this .m file describes how to apply filters on Images ( sobel , Robert ... etc )..
codefile
- 小波变换图像处理，Mallat算法实现二维小波变换，图像分解，图像重构，有图有历程-Wavelet transform image processing, Mallat algorithm to achieve a two-dimensional wavelet transform, image decomposition, and image reconstruction, pictures and history of
bsubsamp
- 对图像边界二次取样，是它的点不再连接在一起。处理后可用connectpoly将点连接起来。-The image boundary secondary sampling, is its point no longer connected together. After treatment can be used connectpoly will point connected.
image-mosaic
- 给定两幅图形view1，view2,选用在小波域内的自适应滤波的拼接算法，实现两幅图像的拼接。利用与小波相关的拼接算法来实现两幅图像的拼接，对利用小波变换来进行图像处理有更深的理解。-Given two graphics The view1, view2 stitching algorithm selection in wavelet domain adaptive filtering to achieve the splicing of the two images. Stitching tw
sift
- 详细讲述SIFT算法的原理、改进点以及在商标检索中的应用。-A detailed account of the principle of the SIFT algorithm, improved point as well as the trademark search.
panorama2
- 图像融合，SIFT算子，特征点的提取、匹配与融合-image stitching，sift
video
- 这是一个opencv读取外部视频，并增加了滚动条的源代码-This is a opencv read external video source, and increasing the scroll bar code
readfromviedo
- 这是一个opencv的源代码，从摄像头读取视频，并，显示在一个窗口上-This is a opencv source code to read the video from the camera and display in a window
Cancer-edge--detection
- 对细胞图像进行边缘的检测，通过实验的结果可以得到有效的细胞边缘。推荐下载。-Cell image edge detection, the results of the experiments can be an effective cell edge. Recommend to download.
Cancer-corlor-analysis
- 癌细胞颜色分析，通过色度分析，判别癌细胞的颜色，实验结果良好-Cancer cells color analysis, by colorimetric analysis, discriminating the color of the cancer cells, the experimental results are good
Car-plate-localization
- 在Visual C++环境下编写的车牌定位的程序，依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。-License plate positioning program written in Visual C++ environment, click the button to "turn", "1", "2", "3", "4" and "5" can achieve accurate license plate location.