noise

matlab中图像的循环读入程序，我做了图像imadd叠加操作，别的函数也可以类似的使用这种循环(matlab image read into the program cycle, I make an image overlay imadd operations, other functions can also be similar to the use of this Cycle)

图形图象处理中的一个非常重要的特征的提取算法,zernike矩(Graphic image processing in a very important feature extraction algorithm, zernike Moment)

说明：  维纳滤波 最小二乘方 Lucy richardson图像复原 盲去卷积复原 图像复原法的综合比较(Wiener filtering least squares Lucy richardson image restoration blind deconvolution image restoration method to recover a comprehensive comparison)

说明：  利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。(The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training.)

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)

vmd分解之后分解信号和原信号的对比图、频谱图等(After VMD decomposition, the contrast and spectrum of the decomposed signal and the original signal, etc.)

采用hough变换检测仪表的指针位置，但是易受背景、边缘直线的干扰(The Hough transform is used to detect the position of the pointer, but it is vulnerable to the interference of background and edge lines.)

我自己做的一个bmp文件进行24位真彩转256灰度和二进制的程序，并能用sobel算法，识别物体的边界。 (I myself make a bmp file for 24-bit true color to 256 gray-scale and binary procedures and sobel algorithm can be used to identify object boundaries.)

根据高程点，绘制等高线的matlab小程序。(According elevation points, draw contour lines matlab applet.)

用于实现基于压缩感知在傅里叶系数域上的图像融合(For image fusion based on compressed sensing in the domain of Fourier coefficients)