matlab实现灰度预测

获取图像灰度共生矩阵特征值代码，包括能量、熵、惯性矩和相关度的均值和标准差，已测试，代码及注释清晰。(The eigenvalue codes of gray level co-occurrence matrix, including the mean and standard deviation of energy, entropy, moment of inertia and correlation, have been tested and the codes and annotations are clear.)

简单的图像积分图的汇编算法；图像积分图的计算在图像处理中经常用到(A simple compilation of the image points map algorithm image points in the map frequently used for image processing)

一个去水印的程序，已调好。里边包含实例图片，可以帮助大家理解这个代码。(A program to watermark has a good tune. Inside contains examples of pictures that can help us to understand the code.)

希尔伯特变换的matlab程序，用于在matlab中实现希尔伯特变换。(Hilbert transform matlab program )

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)

本程序的细化算法要应用于含线条的黑白二值图像才可以看出细化效果。(This procedure should be applied to the thinning algorithm with two lines of black-and-white image before thinning effect can be seen.)

BRISK特征点提取源代码，Linux及Windows，MATLAB环境。(Linux and Windows)

运用于人脸图像预处理中，主要实现功能有：人脸检测，人脸对齐，人脸图像放缩，人脸剪切。(Applied to the face image preprocessing, the main features are: face detection, face alignment, face image zoom, face cuts.)

针孔模型中单应矩阵的求解 mian函数，测试单应矩阵计算的算法，程序流程如下 1、 读入两个图像。 2、读入4组对应点。 3、调用CalcH函数计算H矩阵。 4、在第一幅图中用鼠标选择一点。 5、调用WarpH函数计算在第二幅图中的对应的。 6、显示结果.(Pinhole model for solving the homography mian functions, test homography computation algorithm, program flow is as follows 1, read the two images. 2, 4 reads the corresponding points. 3, call CalcH function to calculate the H matrix. 4, in the first picture using the mouse to select it. 5, call WarpH function calculation in the second picture in the corresponding. 6 displays the results. )

图像检索——提取颜色特征：HSV空间颜色直方图(将RGB空间转化为HSV空间并进行非等间隔量化，将三个颜色分量表示成一维矢量，再计算其直方图作为颜色特征。(Image Retrieval- extract color features: HSV space color histogram (RGB space into the HSV space and the non-interval to quantify the three color components expressed as a one-dimensional vector, then calculate the color histogram as a feature.)