APBT

1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。 2.基于Gabor变换的人眼检测MATLAB实现。 3.基于Radon的车牌矫正方法。 4.基于模型函数headata产生不同大小的头模型数据。 5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.)

此代码从局部上来使用直方图均衡来达到增强图像的目的，非常的好，而且已经调试好了无差错(This code from the local authorities to use histogram equalization to achieve the purpose of enhanced images, very good, and has good debugging error-free)

ostu二值化算法vc实现，基于MIL图像处理软件包将图像解析，通过ostu求取二值化阈值，实现二值化算法(ostu binarization algorithm to achieve vc, MIL image processing software package based on the image resolution, strike through ostu binarization threshold binarization algorithm to achieve)

程序实现Matlab下爬山法(hill-climbing)方法，用于彩色图像分割。(mage is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the cluster number K as well as initial seeds for )

这里包含了曲线波变换用于图像去噪的一片论文以及翻译，这是本人亲自翻译排版的，希望对大家有用(This includes the curvelet transform for image denoising is a piece of paper and translation, this is a personally Translation Publishing, I hope useful for everyone)

高通高斯滤波，LBP，LDP的matlab源代码，用于图像的增强，特征提取。(High-pass Gaussian filter, LBP, LDP matlab source code for image enhancement, feature extraction.)

canny边缘检测（自动设置Sigma的高斯平滑+Sobel(原始)+自适应直方图阈值）(canny edge detection (automatically set Sigma Gaussian smoothing+ Sobel (original)+ adaptive histogram threshold))

本程序为图像锐化的经典程序，源码里有详细的标注。(the procedures for sharpening images of the classic procedures are detailed source of tagging.)

一个用VC编的混沌图像加密程序，演示了如何读写图像，如何用混沌算法加密解密。(a program for encrypting image by chaos algorithm,based on VC.)

本书详细介绍了医学图像注册方面的知识，包括配准的原理、刚性配准、非刚性配准，对于医学图像处理方面的研究具有很重要的参考价值。(The book details the registration of medical image information, including the principle of registration, rigid registration, non-rigid registration for medical image processing research has important reference value.)