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gcrf_demo
DL : 0
This MATLAB code is an example of how to train the GCRF model described in "Learning Gaussian Conditional Random Fields for Low-Level Vision" by M.F. Tappen, C. Liu, E.H. Adelson, and W.T. Freeman in CVPR 2007. If you use this code in your research, please cite this paper
Date
: 2025-12-24
Size
: 42kb
User
:
代松
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ndnanfilter
DL : 0
NDNANFILTER N维零相位数字滤波器,忽略NaN的。 短语法: [年,钨] = ndnanfilter(十,HWIN,女) 短输入: X - 有/无NaN的多维数据。 HWIN - 窗口的名称(默认情况下移动平均的Nd: rectwin )。 的F - 向量指定为每个维窗口半宽度。 短暂输出: Ÿ - 过滤/平滑X数据与零相移(如X!一样大小)。 W - N维是通过一种特殊的子函数生成的中心对称的窗口称为NDWIND。 简短描述: 此功能适用于一对X与W N维卷积,利用MATLAB的IMFILTER或CONVN功能,忽视/插值/灌装NaN的。 默认情况下,边缘与在与PADARRAY MATLAB的函数的边界的X值填充。当PADARRAY没有找到,该程序执行零填充。 简短说明: *见截图。-NDNANFILTER N-dimensional zero-phase digital filter, ignoring NaNs. SHORT SYNTAX: [Y,W] = ndnanfilter(X,HWIN,F) SHORT INPUT: X- Multidimensional data with/without NaNs. HWIN- Window s name (N-D moving average by default: rectwin ). F- Vector specifying the semi-width of the window for each dimension. SHORT OUTPUT: Y- Filtered/smoothed X data (same size as X!) with zero phase shift. W- N-dimensional window with central symmetry generated by a special subfunction called NDWIND. SHORT DESCRIPTION: This function applies a N-dimensional convolution of X with W, using the MATLAB s IMFILTER or CONVN function, ignoring/interpolating/filling NaNs. By default, the edges are padded with the values of X at the borders with the PADARRAY MATLAB s function. When PADARRAY is not found, the program performs zero-padding. SHORT NOTE: * See the screenshot.
Date
: 2025-12-24
Size
: 6kb
User
:
namind
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im_add
DL : 0
自己编写的matlab程序用于将两张图片叠加,内含两张示例程序,需要将图片文档置于F盘下。-Overlap of two pics.
Date
: 2025-12-24
Size
: 1.84mb
User
:
daidai chen
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GraphBasedIS
DL : 0
将Pedro F. Felzenszwalb的 Efficient Graph Based Image segmentation 作者提供的c代码封装,提供了Matlab调用接口。 输入参数如英文所示。-offer the matlab code interface of pedro F. Felzenszwalb s efficient graph based image segmentation (image,sigma 0.8,k 300,min_size 100)
Date
: 2025-12-24
Size
: 52kb
User
:
liu
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matlab-Tcharacterrech
DL : 0
车牌定位和识别,完整可用的matlab车牌识别程序,采用比较简单的模块法实现- 30/5000 Wánzhěng kěyòng de matlab chēpái shìbié chéngxù, cǎiyòng bǐjiào jiǎndān de mókuài fǎ shíxiàn Full use of the matlab license plate recognition program, using a relatively simple module method to achieve
Date
: 2025-12-24
Size
: 337kb
User
:
白
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