domaintap

自己编写的广义霍夫变换，里面有测试图片，可以作为学习霍夫变换的入门(I have written a generalized Hough transform, there are test images, the Hough transform can be started as a learning)

DCT变换的MATLAB代码。无私奉献啦。希望给有用的朋友(DCT Transform MATLAB code. Selfless dedication啦. Want to give useful Friend)

基于PCNN脉冲耦合神经网络的图像增强算法，改进了PCNN基本算法，相比传统图像增强算法更有效(Image enhancement algorithm based on PCNN)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

对测井曲线进行重构的程序，可以充分利用测井特征曲线所反应的岩性特征信息，完成多信息的融合(Log curve reconstruction procedures)

利用卷积神经网络进行特征提取，并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)

一个功能强大音频重采样算法，供大家学习参考(A powerful audio resampling algorithm for learning the reference U.S.)

给予偏微分方程的图像处理一书中的实验代码很全面 (Given partial differential equations of image processing of the experimental code book is very comprehensive)

图像预处理，包括灰度化、图像去噪、灰度变换、阈值分割、边缘检测，形态学处理(image preprocessing)

图片文字 合成实例