登录
首页 » matlab » 10068263

10068263

于 2009-09-10 发布 文件大小:1742KB
0 287
下载积分: 1 下载次数: 13

代码说明:

  数学形态学方法及其应用,老书不好找电子版啦,给大家发一个。超星版的(Mathematical morphology and its applications, the old books not easy to find electronic version of啦, give you hair a. Superstar Edition)

文件列表:

数学形态学方法及其应用_10068263
...............................\!00001.pdg
...............................\!00002.pdg
...............................\000001.pdg
...............................\000002.pdg
...............................\000003.pdg
...............................\000004.pdg
...............................\000005.pdg
...............................\000006.pdg
...............................\000007.pdg
...............................\000008.pdg
...............................\000009.pdg
...............................\000010.pdg
...............................\000011.pdg
...............................\000012.pdg
...............................\000013.pdg
...............................\000014.pdg
...............................\000015.pdg
...............................\000016.pdg
...............................\000017.pdg
...............................\000018.pdg
...............................\000019.pdg
...............................\000020.pdg
...............................\000021.pdg
...............................\000022.pdg
...............................\000023.pdg
...............................\000024.pdg
...............................\000025.pdg
...............................\000026.pdg
...............................\000027.pdg
...............................\000028.pdg
...............................\000029.pdg
...............................\000030.pdg
...............................\000031.pdg
...............................\000032.pdg
...............................\000033.pdg
...............................\000034.pdg
...............................\000035.pdg
...............................\000036.pdg
...............................\000037.pdg
...............................\000038.pdg
...............................\000039.pdg
...............................\000040.pdg
...............................\000041.pdg
...............................\000042.pdg
...............................\000043.pdg
...............................\000044.pdg
...............................\000045.pdg
...............................\000046.pdg
...............................\000047.pdg
...............................\000048.pdg
...............................\000049.pdg
...............................\000050.pdg
...............................\000051.pdg
...............................\000052.pdg
...............................\000053.pdg
...............................\000054.pdg
...............................\000055.pdg
...............................\000056.pdg
...............................\000057.pdg
...............................\000058.pdg
...............................\000059.pdg
...............................\000060.pdg
...............................\000061.pdg
...............................\000062.pdg
...............................\000063.pdg
...............................\000064.pdg
...............................\000065.pdg
...............................\000066.pdg
...............................\000067.pdg
...............................\000068.pdg
...............................\000069.pdg
...............................\000070.pdg
...............................\000071.pdg
...............................\000072.pdg
...............................\000073.pdg
...............................\000074.pdg
...............................\000075.pdg
...............................\000076.pdg
...............................\000077.pdg
...............................\000078.pdg
...............................\000079.pdg
...............................\000080.pdg
...............................\000081.pdg
...............................\000082.pdg
...............................\000083.pdg
...............................\000084.pdg
...............................\000085.pdg
...............................\000086.pdg
...............................\000087.pdg
...............................\000088.pdg
...............................\000089.pdg
...............................\000090.pdg
...............................\000091.pdg
...............................\000092.pdg
...............................\000093.pdg
...............................\000094.pdg
...............................\000095.pdg
...............................\000096.pdg
...............................\000097.pdg

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • WBBaayesianr
    我写的贝叶斯fusion的Visual C+++源码,简明易懂,提供参数说明 可直接使用。 (The Bayesian fusion the Visual C+++ of what I wrote source, easy-to-understand parameters can be used directly.)
    2012-09-30 11:17:27下载
    积分:1
  • SobelKirsch
    模式识别的Sobel和Kirsch边缘检测程序(Sobel and Kirsch edge detection algorithm of Pattern recognition)
    2010-11-26 16:43:14下载
    积分:1
  • Compressive_Sensing
    压缩感知图像融合算法,效果很好滴,可以借鉴学习哦(Compressed sensing image fusion algorithm, the effect is very good drops, you can learn from, oh)
    2012-11-03 23:39:54下载
    积分:1
  • k_t指数
    在对多光谱遥感影像进行大气校正处理以后,可以利用K_T变换矩阵对其进行水体提取,该算法效果较好(After the atmospheric correction of the multispectral remote sensing image, the water body can be extracted by using the k transform matrix, and the effect of the algorithm is good.)
    2019-05-23 20:24:51下载
    积分:1
  • 20080111
    有关图像的目标识别:"给出一种基于特征分类辨识的合成孔径雷达图像目标检测方法#用恒虚警和扩展分形方法对3&E图像进行目 标检测后用面积和峰值能量比算子辨识目标和背景杂波!去除一部分虚警!用小波域主成分分析对每个检测窗口内的图 像提取特征向量!用支持向量机对提取得到的特征向量进行分类!辨识目标和背景杂波!完成目标检测#使用&K?3数 据对该方法进行验证和分析!实验结果表明!经过特征分类辨识后!在检测率不变的情况下!虚警数目显著降低# (Related to the image target recognition)
    2009-12-07 10:21:47下载
    积分:1
  • Compressed-Sensing-
    压缩感知的第一本书籍,很不错的,各位大牛每人负责一章,可惜的是还不完全,还有几章未编出,希望对你有用(The first book of compressed sensing, very good, you cow each responsible for a chapter, it is a pity that is not fully chapters compile the hope that useful to you)
    2012-10-31 17:43:07下载
    积分:1
  • deinterlace
    去隔行的算法,具有可视化。大家可以作为参考,也想学习别人的代码(deinterlace)
    2009-04-20 15:59:24下载
    积分:1
  • Active_Contour
    说明:  对图像目标识别和提取,主要通过改进非线性阈值分割实现(For image target recognition and extraction, the main method is to improve the non-linear threshold segmentation.)
    2019-07-01 11:59:36下载
    积分:1
  • HaarPSRC=Vehicle-detection
    运用harr特征+SRC(稀疏表示)分类实现的一种车辆检测方法,文件中提供了训练和测试车辆图片。由于时间原因,所用haar特征没有优化,维度过高,导致滑窗框图过慢,本代码只输出效果统计数据,以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)
    2013-07-31 11:21:35下载
    积分:1
  • MI
    一篇很好的互信息算法的综述,对不同模态图像运用PV插值技术实现配准的优劣性做了全面的分析。(failed to translate)
    2013-05-06 09:18:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载