kpcacsdn

Retinex算法，用于图像增强。 包括全局域retinex 局部域SSR、MSR、MSRCR(Retinex algorithm for image enhancement. Including full local retinex local domain SSR, MSR, MSRCR)

高斯滤波是一种线性平滑滤波，适用于消除高斯噪声，广泛应用于图像处理的减噪过程。通俗的讲，高斯滤波就是对整幅图像进行加权平均的过程，每一个像素点的值，都由其本身和邻域内的其他像素值经过加权平均后得到。高斯滤波的具体操作是：用一个模板（或称卷积、掩模）扫描图像中的每一个像素，用模板确定的邻域内像素的加权平均灰度值去替代模板中心像素点的值。(Gaussian smoothing filter is a linear filter for the elimination of Gaussian noise, the noise reduction process is widely used in image processing. Popular speaking, a Gaussian filter to the whole image is a weighted average of the process, the value of each pixel, both by itself and other neighborhood pixel values obtained after weighted average. The specific operation Gaussian filter is: a template (or a convolution mask) to scan each pixel in the image, a weighted average gray value of the neighborhood is determined using a template to replace the pixel value of the center pixel of the template.)

几种图像分割的程序,主要包括（1）击中与击不中（2）骨架与细化（3）使用顶帽变换（4）使用重构删除复杂图片的背景（5）重构(some program of image segment)

图像分割 自适应阈值法，otsu法，区域生长法，最大熵法，贝叶斯法，kMeans法，MeanShift法。(Adaptive threshold image segmentation method, otsu method, region growing method, the maximum entropy method, Bayesian method, kMeans law, MeanShift law.)

改进的分水岭算法，能够较好地提取对象轮廓、准确得到物体边界的优点。在MATLAB6.5下顺利编译通过(improve the watershed algorithm can be used to extract object contours, to be precise object boundary advantages. In MATLAB6.5 smoothly through the compiler)

说明：  本代码采用的是opencv，有视频采集和对采集的视频帧进行laplace处理的功能！(This code uses a opencv, with video capture and the capture of video frames laplace processing capabilities!)

说明：  在matlab下实现信号频谱分析：利用快速付里叶变换FFT得到下列信号的频谱，并绘制信号及频图形：1.长2s的方波信号，频率f=10Hz (In matlab signal spectrum analysis: the fast in leaf transform FFT get pay of spectrum, the signal and drew the signal and frequency graphics: 1. The long 2s, frequency f = square wave signal 10Hz )

sift 的c++代码。。。。。。。。。。。。(sift c++ code)

说明：  简单的指纹识别 分类图像处理 语言 matlab(matlab image processing fingerprint identification)

图像处理人脸分割,用阈值法进行肤色分割，从而定位人脸(imaging processing)