资源列表
Actual_JPEG
- 完整的jpeg量化编解码算法，输入为二维图像，输出为二进制码流-Quantify the full jpeg codec algorithm, the input is a two-dimensional image, the output is a binary code stream
97
- 采用9/7双正交小波对图像进行多级分解，输入参数为待分解图像及分解层数-Using 9/7 biorthogonal wavelet image decomposition multi-level input parameters for the image to be decomposed and the decomposition level
color-interpolation
- 用verilog实现的颜色插值，有带仿真-Color interpolation using verilog realize there with simulation
recognition-match
- 彩色汽车牌照识别系统，模板匹配。是一本书上面的例子，效果不错。-recognition match
findlocalminima
- 一种非常实用的窗函数滤波matlab 程序
FCM
- 基于fcm的图像分割算法，可以基于此进行修改改进-Image segmentation algorithm based on FCM method
FCM_S
- fcm——s的图像分割算法，参考了像素的邻域信息-Algorithm for image segmentation based on FCM-- s, the reference pixel neighborhood information
kmeans
- K-means算法是最简单的一种聚类算法。算法的目的是使各个样本与所在类均值的误差平方和达到最小，该程序操作简单，能快速实现遥感影像的kmeans聚类，进行影像分类，显示分类结果。-K- means algorithm is the simplest kind of clustering algorithm.Algorithm is designed to make the sample and the average in the class to minimize the error sum
get_the_same_pix
- 获取图片中色素相同的位置，并把这些点设置为黑色或其他颜色。-Being the same position as the pigment image, and these points are set to black or another color.
where_rgb_under_1
- Python脚本，找出图片中像素值小于1的地方，并全部换成其他颜色。-Python scr ipt, find the picture where the pixel value is less than 1, and replaced all other colors.
meanshift-tracking
- 主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动-The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target templ
meanshift-and-motion-vector
- 文章介绍了mean-shift算法运动矢量相结合的一种解决运动目标过快而是Ms算法丢失目标的跟踪算法。-This paper presents a fast moving target but Ms solving algorithm lost target tracking algorithm mean-shift algorithm combines motion vector.