fun pcnn

适合初学小波的同志，小波图像增强原理底层。严格高低频分解重构，没有使用小波工具库。(Suitable for beginners wavelet comrades, the underlying principle of wavelet image enhancement. Strict high-low-frequency decomposition of reconstruction, did not use the wavelet tool library.)

将一幅rgb图像转换成灰度图像，并显示出灰度图像。(the functon is to make a rgb image to gray image.)

随着生产和工艺的进步，人们对产品的质量要求越来越高，基于机器视觉的在线 检测系统成为一种重要的质量控制手段。本文对应用于宽幅面、高精度的基于分布式 机器视觉的产品表面缺陷在线检测理论与算法进行了研究，并在此基础上以印刷品和 浮法玻璃的缺陷检测为例，完成了模式产品和非模式产品的缺陷在线检测系统。(With the progress of production and technology, people are increasingly demanding high quality products, based on machine vision for online 检测 system into one kind of Zhong Yao quality Kongzhishouduan. This article applies to wide format, high-precision machine vision products based on distributed-line surface defect detection theory and algorithms are studied, and on this basis, and float glass in print defect detection, for example, completed a model of products and non-model product line defect detection system.)

模糊C-均值（FCM）聚类算法，用MATLAB程序编写。(FCM clustering algorithm)

梯度倒系数滤波,在小目标检测算法中,用来实现背景抑制,提高目标的信噪比.(reversing gradient filter coefficients in small target detection algorithm, which can be used for background suppression, the goal of improving the signal-to-noise ratio.)

图片的旋转、截图、灰度、翻转、滤波、去噪等基本处理(Image rotation, screenshots, gray, flip, filtering, noise and other basic processing)

非常不错的IDL实现的放大缩小代码，希望能给大家带来方便(Achieved a very good zoom IDL code, I hope that it brings convenience)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

说明：  KFCM聚类算法进行图像分割，分割效果好(KFCM clustering algorithm for image segmentation, segmentation effect is good)

读入一副图片，提取其脊线（含有噪声，除噪声需另外编程实现）(Get the ridge of a picture (with noise))