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ImgEn
利用matlab实现了图像增强的功能,里面包含一些目标较新的算法,同传统方法,对学习图像增强有很好的帮助(Using matlab to achieve the image enhancement function, which contains some of the objectives of the newer algorithms, with the traditional methods of learning have very good image enhancement to help)
- 2007-07-26 10:46:05下载
- 积分:1
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CBIR
综合多个特征的图像检索,包括颜色、形状和纹理等(Integrated multiple features for image retrieval, including color, shape and texture)
- 2013-07-26 15:34:19下载
- 积分:1
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Machine-Vision-System-Color-Recognition
说明: 机器视觉系统实例--颜色识别系统,matlab实现(Examples of machine vision systems- the color identification system, matlab achieve)
- 2008-10-16 11:28:29下载
- 积分:1
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minimum-watershed
实现粘连分割,对有粘连的物体分割效果很好,使用了局部极值结合分水岭算法(Achieve adhesion segmentation, to have adhesion object segmentation effect is very good, the use of the local extremum combined with watershed algorithm
)
- 2012-08-26 16:22:23下载
- 积分:1
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Azi_sim
说明: 數據繪圖時候有時候必須處理資料矩陣轉向,該編碼詳細說明如何處理矩陣在三維度空間下進行轉向,而不是利用Curve Fitting Tools(Data drawing sometimes has to deal with the data matrix steering, which details how to handle the matrix to steer in a three-dimensional space instead of using Curve Fitting Tools)
- 2020-06-22 19:40:02下载
- 积分:1
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RGBImageSegment
一个高效的matlab彩色图像分割软件,(An efficient color image segmentation matlab software)
- 2008-12-29 19:40:13下载
- 积分:1
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1
说明: 利用matlab进行数字图像处理,滤除方格形条纹噪声,滤除效果还可以,但需要后期处理。(Digital image processing using matlab, square-shaped stripe noise filter, filter effects can be, but need post-processing.)
- 2011-04-10 15:54:27下载
- 积分:1
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knn-matting
国外写的knn-matting,图像抠图的源程序,有实例,可直接使用(knn-matting looking abroad to distinct the image layer, there are instances, can be used directly)
- 2013-04-08 10:51:15下载
- 积分:1
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yuv420sp_to_yuv420p
yuv420 to_yuv420p 程序(yuv420 to_yuv420p )
- 2016-12-21 16:58:27下载
- 积分:1
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spfilt1
首先生成如下形式的图片:图中的白条为7象素宽,210象素高,白条间的宽度为17象素。
应用多种滤波器进行处理:算术均值,几何均值,谐波均值,逆谐波均值,中值滤波,中点滤波,最大值、最小值滤波等。注意,需改变模板大小。详细比较上述的结果,并分析原因。
(First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)
- 2013-12-03 16:17:19下载
- 积分:1