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Image-processing-source-code

于 2017-05-19 发布 文件大小:419KB
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  图像处理源代码，基于Hough变换的人眼虹膜定位方法，基于Kalman滤波的目标跟踪，基于模糊集的图像增强方法，基于蚁群算法的图像边缘检测。等等(Image processing source code, Hough transform based human eye iris location method, Kalman filter based target tracking, fuzzy set based image enhancement method, ant colony algorithm based image edge detection. and many more)

文件列表：

我的代码
........\基于Hough变换的人眼虹膜定位方法
........\...............................\ex1.m,12286,2012-02-14

........\基于Kalman滤波的目标跟踪
........\........................\DATA





........\........................\....\14.jpg,3988,2011-05-19
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........\........................\....\8.jpg,4013,2011-05-19
........\........................\....\9.jpg,4078,2011-05-19
........\........................\ex1.m,659,2012-02-14
........\........................\extractball.m,1468,2012-02-14
........\........................\main.m,1587,2012-02-14
........\基于KL变换的人脸识别技术
........\........................\ex1.m,2380,2011-09-26
........\........................\ScaleImage.m,128,2011-09-26
........\基于模糊集的图像增强方法
........\........................\ex1.m,622,2012-02-15

........\基于脉冲耦合神经网络的图像分割

........\..............................\pcnn.m,3695,2012-02-15
........\基于蚁群算法的图像边缘检测



........\..........................\edge_ACO.m,8509,2012-02-15

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  • yuzhihuafenge
    图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)
    2011-11-14 21:10:46下载
    积分：1
  • object-graphics-display
    图像处理的基本功能，对象图形法显示，高效实用。(The basic function of image processing, object graphics display, efficient and practical.)
    2015-06-16 11:22:59下载
    积分：1
  • decon
    基于最小相位雷克子波反褶积的matlab程序，有脉冲反褶积，最小平方反褶积和预测反褶积(Matlab program based on the the Leike Zi wave pulse deconvolution)
    2012-05-25 13:56:49下载
    积分：1
  • laplacian
    Calculate the Laplacian of an image, can be accelerated by the GPU.
    2020-06-21 11:00:02下载
    积分：1
  • ElizziqunMATTd
    边缘检测 的 matlab粒子群程序序源码 ，希望对你有所帮助 (Edge detection matlab particle swarm procedure sequence source, you want to help)
    2012-07-29 23:52:42下载
    积分：1
  • Kriging
    说明：  克里金插值（Kriging）在MATLAB中的实现（克里金工具箱）(Implementation of Kriging interpolation (Kriging) in MATLAB (Kriging toolbox))
    2020-06-08 19:03:48下载
    积分：1
  • Kalman-Track-filter
    带高斯白噪声的Kalman滤波Matlab代码，每一步都有详细的注释，和kalman滤波的五个公式对应。并有高斯白噪声的产生函数，function G = CreateGauss(E,D,M,N) 产生均值为E,方差为D,MxN的高斯白噪声矩阵(The Matlab code of Kalman filter with Gaussian white noise.)
    2011-12-21 15:48:06下载
    积分：1
  • Mueller_Matrix_Cal
    说明：  利用偏振片玻片产生圆偏振光照射物体，计算反射光的穆勒矩阵(Using a polarizer glass to generate circularly polarized light to illuminate an object, calculate the Mueller matrix of the reflected light)
    2019-12-13 11:41:36下载
    积分：1
  • multi-target-tracking
    多目标跟踪的主程序，包含跟踪起始，数据关联，目标状态估计等过程(The main process of multi-target tracking, including track initiation, data association, target state estimation process)
    2013-06-26 16:26:24下载
    积分：1
  • BM3D
    说明：  This is BM3D algorithm implemented according to the paper: K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering,” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007.(This is BM3D algorithm implemented according to the paper: Image denoising by sparse 3D transform-domain collaborative filtering)
    2020-07-06 10:04:45下载
    积分：1
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