资源列表
PDE
- 给予偏微分方程的图像处理一书中的实验代码很全面
Handwritten-Digit
- 应用KNN和NP算法对MINSET数据库进行手写数字识别-KNN algorithm application and NP MINSET Digital Recognition
demo
- 数字图像处理程序。包括增强、滤波、伪彩色、K变换、细胞分割及遥感校正等。-Digital image processing program. Including the enhancement, filtering, pseudo color, K transformation, cell division and RS correction.
region-based-image-retrieval
- 从数据库中下载的几篇基于区域的图像检索论文，包括中文的和外文的。相信对研究图像检索的有帮助。-There are several articles of region-based image retri ,including English and Chinese.
ImageSolution
- 做图像处理的一般都要涉及到很多的算法，这是一个包括较多算法的文件，包括图像的显示，转化，增强，匹配，复原等等算法-To do image processing usually involves a lot of algorithms, This is a document of more algorithms, including image display, transformation, enhancement, matching, and so on recovery algorithm
1
- 在实际应用中，通常都要在没有图像退化必要的先验知识（即不知道点扩展函数）的情况下进行图像复原。这是解运动模糊的参考程序。-In practical applications, the image restoration is usually performed without the necessary prior knowledge (i.e., the point spread function) of the image degradation. This is a reference p
Desktop
- matlab图像处理基本操作，一共10个程序，都已经成功调试通过，希望对朋友们有所帮助,同时，包括一本好书，Visual C++_MATLAB图像处理与识别的，其中有很多例程-matlab image processing basic operation, 10 programms,and also all of them has been successfully debuged, want to help some friends of needed.there included a ver
Digital Image Processing
- 1.RAW格式转换为BMP格式 2.灰度线性拉伸 3.局部处理 4.几何处理 5.二值化 6.模板匹配 7.影像融合(1.RAW format converted to BMP format 2. grayscale linear stretch 3. local processing 4. geometric processing 5. binaryzation 6. template matching 7. image fusion)
SRGAN-master
- 这是一个基于深度学习的超分辨率图像复原技术的例子(This is a deep learning based super-resolution image restoration technology for example)
SRGAN-master
- 生成对抗网络（SRGAN）的源码，相关文章建议百度ＳＲＧＡＮ(Source code for generating antagonism network (SRGAN))
DigitalImageProcessingaMachineVision
- 《数字图像处理与机器视觉》配套的matlab版源代码-The Matlab version of code of the book Digital Image Processing and Machine Vision
segmentation-using-mean-shift
- 基于mean—shift的彩色图像分割,包含了采用mean shift进行彩色图像分割的源代码和2篇相关的论文。-Mean-shift based color image segmentation, including the use of mean shift to color image segmentation of the source code and two related papers.