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Search - local averaging - List
[
Other resource
]
dip2
DL : 1
基于信息融合的图像边缘检测方法研究,⑴直方图均衡化(histogram equalization),⑵直方图匹配(histogram matching),⑶邻域平均(neighborhood averaging),⑷局域增强(local enhancement), ⑸中值滤波(median filtering)。-Edge detection method, 1 histogram equalization (histogram equalization). 2 histogram matching (histogram matching). 3 Neighborhood average (neighborhood averaging) 4 Local Enhancement (local enhancement). together median filter (median filtering).
Date
: 2008-10-13
Size
: 977byte
User
:
杨合
[
Other resource
]
K_smooth
DL : 0
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when estimating the regression function. Analogously, one can estimate derivatives of small order of the regression function.
Date
: 2008-10-13
Size
: 190.34kb
User
:
zhanglifang
[
matlab
]
dip2
DL : 0
基于信息融合的图像边缘检测方法研究,⑴直方图均衡化(histogram equalization),⑵直方图匹配(histogram matching),⑶邻域平均(neighborhood averaging),⑷局域增强(local enhancement), ⑸中值滤波(median filtering)。-Edge detection method, 1 histogram equalization (histogram equalization). 2 histogram matching (histogram matching). 3 Neighborhood average (neighborhood averaging) 4 Local Enhancement (local enhancement). together median filter (median filtering).
Date
: 2025-07-01
Size
: 1kb
User
:
杨合
[
Algorithm
]
K_smooth
DL : 0
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when estimating the regression function. Analogously, one can estimate derivatives of small order of the regression function.
Date
: 2025-07-01
Size
: 190kb
User
:
zhanglifang
[
Wavelet
]
matlab
DL : 0
图像灰度变换、图像的锐化、⑴直方图均衡化(histogram equalization),⑵直方图匹配(histogram matching),⑶邻域平均(neighborhood averaging),⑷局域增强(local enhancement), ⑸中值滤波(median filtering)。源码-Image gray-scale transformation, image sharpening, ⑴ histogram equalization (histogram equalization), ⑵ histogram matching (histogram matching), ⑶ average neighborhood (neighborhood averaging), ⑷ enhanced local (local enhancement), ⑸ Value filtering (median filtering). Source
Date
: 2025-07-01
Size
: 1.01mb
User
:
张少华
[
Special Effects
]
dip
DL : 0
⑴直方图均衡化,⑵直方图匹配,⑶邻域平均,⑷局域增强, ⑸中值滤波。-(histogram equalization) (histogram matching) (neighborhood averaging) (local enhancement) (median filtering)
Date
: 2025-07-01
Size
: 5kb
User
:
娟
[
Special Effects
]
NLM
DL : 0
我们提出一个新的方法,方法噪声,用来估计和比较数字图像去噪方法的表现。我们首先对一个广泛的去噪算法类计算和分析方法噪声,称之为局部平滑滤波。其次,我们提出一种新的基于图像中所有像素的非局部平均的算法,非局部平均(NL-means)。最后,我们展示几组实验比较非局部平均算法和局部平滑滤波算法。-We propose a new method for noise method used to estimate the performance of digital image denoising methods and compare. We first noise, a denoising algorithm calculation and analysis method called partial smoothing filter. Secondly, we have proposed a new algorithm based on all the pixels in the image non-local average, the non-local average (NL-means). Finally, we show several groups of experiments comparing non-local averaging algorithm and the local smoothing filter algorithm.
Date
: 2025-07-01
Size
: 252kb
User
:
王黛冰
[
Other
]
EDGE-DETECTION--edge_detection(userImage)---File-
DL : 0
There are four levels of implementation to apply: 1. To use “edge function” with the Sobel, Prewitt,average,disk,gaussian,log,motion,prewitt,unsharp options 2.To use convolution filtering with both the “imfilter” and standard convolution techniques 3.To use a non linear or non convolution based technique to illustrate the application of “range” or“averaging” based edge detection. 4.To use a non-linear region based statistical technique to analyse differences in local image texture
Date
: 2025-07-01
Size
: 5kb
User
:
deepsash
[
Special Effects
]
NLMeans_wynew
DL : 0
关于非局部平均算法的一些改进,使得效果更好一点。可以采用。-Some improvements on non-local averaging algorithm, making it better. May be used.
Date
: 2025-07-01
Size
: 2kb
User
:
wangyi
[
Special Effects
]
digital-image-processing
DL : 0
实现图像的直方图均衡化,直方图匹配,邻域平均,局域增强,中值滤波。-histogram equalization,histogram matching,neighborhood averaging,local enhancement,median filtering
Date
: 2025-07-01
Size
: 274kb
User
:
张三
[
Special Effects
]
ZaoShengXiaoChuDib
DL : 0
图像降噪处理:固定阈值法进行二值化、对二值图像的黑白点噪声消除、对二值图像进行消除孤立黑像素点、均值滤波处理、超限邻域平均法、n*n均值滤波处理、n*n中值滤波处理、十字型中值滤波、N*N最大值滤波、随机噪声处理、进行椒盐噪声处理、局部平均化处理。-Image noise reduction: fixed threshold binarization method for binary images in black and white spot noise elimination, the elimination of the binary image isolated black pixels, mean filtering, overrun neighborhood average method, n* n Mean Filter processing, n* n median filter, a cross-shaped median filter, N* N maximum filtering, random noise, and performs processing salt and pepper noise, local averaging process.
Date
: 2025-07-01
Size
: 5kb
User
:
HY
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