图像灰度处理

说明：  pcnn的matlab实现，pcnn神经网络主要用于图像去噪分割等(the realization of the matlab PCNN, pcnn neural network used mainly for segmentation, such as image denoising)

基于最小矩方判断灰度重心法计算光心位置的像素点，并输出结果。(Analyzing calculate pixel gray scale optical center position the center of gravity method, and the output torque based on the minimum square.)

高斯模糊是一种图像滤波器，它使用正态分布(高斯函数)计算模糊模板，并使用该模板与原图像做卷积运算，达到模糊图像的目的(Gaussian blur filter is a kind of image, it uses the normal distribution (gaussian function) to calculate fuzzy template, and use the template and the original image for convolution operation, achieve the goal of blurred image )

一种基于稀疏表示的图像融合方法，基于论文《Information Fusion》论文Joint patch clustering-based dictionary learning for multimodal image fusion 进行编写 结果相似(A sparse based image fusion method. It is based on paper Joint patch clustering-based dictionary learning for multimodal image fusion of Information Fusion The results is almost the same to this paper)

本程序可以实现MPEG-2I帧基本层编码和解码。图像大小为352*288.(This program implements the MPEG-2 I base layer frame encoding and decoding. Image size is 352* 288.)

本文提出了一种基于数字图像轮廓特征的机械零件自动有 效识别的系统。利用工业摄像镜头代替目视作为一个传感器，经过光电转换、图 像采样、图像处理、图像分析识别等一系列的操作，就可以达到机械零件识别的 目的。(This paper presents a digital image based on the outline of the characteristics of mechanical parts automatically effective identification system. Utilization of industrial camera lens as a substitute for visual sensors, through photoelectric conversion, image sampling, image processing, image analysis to identify a series of operations to achieve the purpose of identification of mechanical parts.)

手指照片的特征点提取程序与算法，从而进行手指指型的匹配(Finger pictures of Feature Points Extraction procedures and algorithms, which refers to a finger-type matching)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

将一幅图像划分成8*8图像块，计算灰度梯度共生矩阵，基于混合熵对每个图像块分类(divide an image into 8*8 image blocks,calculate gray-gradient-matrix, classify image blocks based on the mixed entropy)

利用马尔科夫随机场对图像进行语义分割，通过ICm求解参数，可以运行，对初学者有较好的借鉴作用(Using Markov random field to semantic segmentation of images, through ICm solution parameters, can run, for beginners have a good reference)