optics

matlab程序，找一幅图像的几何重心和灰度重心以及一个典型滤波器(Find focus)

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. )

细胞核分割计数，通过大津法阈值分割图像后，进行腐蚀以及膨胀等操作处理图像，标记连通区域来计数(Threshold segmentation count of nuclear image)

图像质量评价指标：MSE，衡量融合图像相对于标准参考图像灰度的偏离程度。其值越小，说明复原图像和标准参考图像的差异越小，恢复效果越好。(Image quality evaluation MSE)

介绍图像处理技在AMD上的GPU的处理方案，加速高清，快速度(The processing scheme, image processing technology on AMD GPU accelerated HD, speed)

在保证图像质量的前提下，为了提高可逆信息隐藏的容量，提出了一种基于差值扩 展的可逆信息隐藏新算法(The premise of guaranteeing the image quality, in order to improve the reversible capacity of information hiding, a difference expansion based on new algorithm for reversible information hiding)

说明：  最简单的进行两图像的加减和异或，同或，运算。(The simplest operation is to add and subtract two images, and to add and subtract two images.)

先对图片进行灰度处理，然后进行高斯滤波，最后得到边缘特征点。(First deal with gray-scale pictures, and then carry out Gaussian filter, and finally get the edge feature point.)

几种插值方法，双线性，三次，最邻近，sinc(Several interpolation, bilinear, cubic, nearest neighbor, sinc)

C# 使用Halcon进行模板匹配定位(C# uses Halcon for template matching and location)