Denoise_wavelet_Mod_mojidazhi

基于Matlab的结合Laplacian Pyramid 和反锐化掩膜的改进法的图像增强算法(Matlab based on a combination of Laplacian Pyramid and unsharp mask to improve the method of image enhancement algorithm)

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)

用halcon编写的代码实例，用来给初学者学习(Use halcon code examples, for beginners learning )

用matlab实现自适应图像阈值分割最大类方差法代码(Using MATLAB to achieve adaptive threshold image segmentation Otsu method code )

Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。(The basic theory of Retinex theory is the color of the object by object for the long wavelength (red), medium (green), short wave (blue) light reflection ability to decide, rather than by the intensity of reflected light of the absolute value to decide, the color of the object under illumination nonuniformity effects, consistent with the Retinex, that is based on color constancy (color constancy based). Different from the traditional linear, nonlinear image enhancement method of only one kind of features, Retinex can be in dynamic range compression, edge enhancement and three aspects of color constancy hit the balance, thus enhancing adaptive to a variety of different types of images can be.)

本文用用Harris算子提取特征点，基于特征点的匹配，加权融合图像拼接(In this paper, feature extraction using Harris operator point, based on feature matching, weighted fusion image mosaic)

用C charp编写的图像滤镜效果，包括源代码。(Image filter effects)

自己编写的广义霍夫变换，里面有测试图片，可以作为学习霍夫变换的入门(I have written a generalized Hough transform, there are test images, the Hough transform can be started as a learning)

光流法的程序，利用传统光流法思想，亲测有效，效果不错(Optical flow method program, pro-test, good results)

说明：  基于retinex理论的图象增强处理，一种新型的算法，效果挺好(Image enhancement based on Retinex theory, a new algorithm, has a good effect)