code

BP神经网络，可以处理图像进行分类等各种处理的源码(BP neural network image processing source code)

基于深度图的图像修复，有完整的代码和实验图像。(Image restoration based on the depth chart, there is a complete code and experimental images.)

1.能够对简单瑕疵点进行检测：正常线、断线、重线、跳线、平纹面料、平纹面料疵点、水印疵点、染色疵点 能够对不同的纹理布匹进行检测：平纹、斜纹等(翻译 1. Be able to perform simple point defect detection: the normal lines, broken, heavy lines, jumpers, plain weave, plain weave fabric faults, watermark defects, dyeing defects Able to detect different textures of cloth: plain weave, twill)

说明：  基于matlab 的图像除雾算法。可以很大程度去除雾霾对图像的影响。(Image Defogging Algorithm Based on matlab. The influence of smog on images can be removed to a great extent.)

这本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，这是一种流行和重要的雷达信号处理工具。本书涵盖了所有可能的ISAR成像方面。这本书提供了一个介绍了专家组的逆问题和合成孔径雷达（SAR）提出的问题之前，信号处理技术和雷达基本相当。如高分辨率SAR的重要概念，脉冲压缩和图像形成连同相关的MATLAB代码。 ISAR成像的基本原理后，这本书提供了相关的MATLAB函数和代码成像ISAR成像的详细程序。 ISAR成像，多个成像技巧和微调，如零填充和窗口程序，以提高图像的质量也被提出。最后，逆合成孔径雷达图像中的各种实际应用，如成像天线平台散射的，是在单独的一章。所有这些算法，MATLAB代码和数字都包括在内。最后一章考虑了在ISAR成像的先进理念和发展趋势。(This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes. After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLA)

TIP10的paper "Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" 的代码。一个图像去噪和超分辨的算法(TIP10' s paper " Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" code. Image denoising and super-resolution algorithm)

利用位图图像中的冗余数据位，将小文件嵌入到大的图像文件中，并保持原图像不变。(The use of bitmap images in the redundant data bit will be embedded in small files to large image files, and to maintain the original image unchanged.)

图像简单处理小程序，带有测试图片，比较实用的小冬冬 (Simple procedures to deal with small images, with the test pictures, more practical small Dongdong)

基于最大流最小割定理的图像分割,里面有一个例子，(Image segmentation based on maximum flow minimum cut theorem)

说明：  适合初学者使用，简单的直接调用该函数即可。(Suitable for beginners to use, simply call the function directly.)