Generate-SAR-image

david lowe 的matlab程序，用于图像特征点的匹配。(david lowe)

VisualC++数字图像处理技术详解第2版光盘-第四章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter Four)

(l)小波分析理论在变形监测数据处理研究中的理论意义和实用价值 (2)小波阂值去噪和多分辨分析在变形监测信号分析中的应用 (3)在算法和图像处理方面的优越性 ((L) wavelet analysis theory in the study of deformation monitoring data processing theoretical significance and practical value (2) wavelet thresholding denoising and multi-resolution analysis in deformation monitoring signal analysis application (3) in the algorithm and image processing superiority )

C++ GUI Programming with Qt 3不用再详细解释了吧，下载试一下就知道了(C GUI Programming with Qt 3 do not have a detailed explanation of it, Download trial will know what)

说明：  图像处理所涉及的256转灰度，二值化等等，每个部分都是独立可执行的工程文件，很方面的代码复用(256 involved in image processing turn gray, binary, etc., are independent of each part of the project executable file, it' s code reuse)

分形图像压缩 效果好 但是运行时间长 需要改进(Fractal image compression effective running a long time but need to improve)

说明：  使用openmv实现人脸识别。。。。。。。。。。。。。。。。。。(Face recognition is a kind of biometric technology based on facial feature information. A series of related technologies, also known as portrait recognition and face recognition, that use cameras or cameras to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform face recognition on the detected faces.)

图像拼接的matlab实现，内含有算法的设计文档和源程序等(Matlab implementation, image stitching algorithm design documentation and source code contains)

实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％(To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading)

实现数字图像的灰度范围的线性拉伸，对变换结果进行必要的分析，画出灰度变换曲线图，以另一个文件名形式保存灰度变换后的图像。(Achieve linear range of the gray range of digital images)