C-Vsegmentation-

可利用哈夫变换法在变换域提取直线，利用g共线和直线相交的关系，使直线提取问题转化为计数问题()

先用双峰法将细胞图像进行二值化，然后进行分割和癌细胞识别(Bimodal method first cell image binarization, and segmentation and identification of cancer cells)

此代码采用正态分布变换算法NDT进行点云配准(This code uses the normal distribution transform algorithm NDT for point cloud registration)

小波包分解的原始文献，研究小波包分解必读！(Lectures on wavelet packet algorithms)

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

空间域图像处理，图像增强。计算相关，卷积，高斯平滑等滤波图像处理代码。(Spatial domain image processing, image enhancement. Computation, convolution, gaussian smoothing image processing such as filtering code.)

opencv,图像处理，关于物体粘连问题的检测，基于凹性分析的分割方法(opencv, image processing, object sticking problem on detection, segmentation method based on analysis of the recess)

用方向可调小波变换实现图像边缘提取，包涵实验报告及原图像及处理结果(Steerable Wavelet Transform using edge extraction, bear with lab reports and the original image and processing results)

说明：  SAR回拨模拟及CS算法成像，参考书：合成孔径雷达成像原理（皮亦鸣）(CS algorithm for SAR call-back simulation and imaging, reference books: Synthetic aperture radar imaging principle (PI Yi-ming))

把一幅图像进行经验模式分解，结果为不同频率分量的IMF，用于希尔伯特黄变换，图像去噪等(empirical mode decomposition)