ellipse-detection-algorithm

从jd1.ave中读取某一桢图像，并应用dct带通滤波，输出图像为‘source.bmp’(read from a jd1.ave Lo images, and apply Copy-pass filtering, Image output for the 'source.bmp')

说明：  针对一维最大类间方差算法(1-Otsu)抗噪性能较低、二维最大类间方差算法(2-Otsu)计算复杂度高、实时性差的问题,提出一种基于改进的萤火虫算法(FA)优化二维Otsu图像分割算法(FA-2-Otsu).(In order to solve the problems of low anti noise performance of 1-otsu, high computational complexity and poor real-time performance of 2-otsu, an improved firefly algorithm (FA) is proposed to optimize the 2-otsu image segmentation algorithm (fa-2-otsu).)

对图像进行GMM（混合高斯）拟合后用EM算法进行分割(Image GMM (Gaussian Mixture) after fitting algorithm using EM Segmentation)

一种用于稀疏表示求解L1范数的算法，用L1范数近似L0范数获得了更好的效果。(A method for sparse representation algorithm for solving the L1-norm)

编译好的tesseract 4.0库 for VS2015 (含lib、dll和头文件)，另附一个tessreact 4.0进行图片识别的示例程序，并给出运行具体配置方法！

利用curvelet波将不同聚焦图像进行分解，然后利用局部能量最大的方法将图像合成，得到清晰的图像、(Curvelet waves using different focus image decomposition, and then make use of local energy will be the largest image synthesis methods have been given clear images,)

一维条形码的识别源码，阈值处理，二值化处理，去噪处理(Bar codes to identify source)

计算两幅图像联合直方图的matlab小程序。可以用于图像分割及图像互信息的计算(calculated two joint histogram of the image of small Matlab procedures. Can be used for image segmentation and image mutual information calculation)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

图像处理中的边缘检测以及曲线拟合的结合应用，实现边缘连接和线段拟合源码(image processing edge detection and curve fitting combination of applications, connectivity and edge line fitting FOSS)