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Description: 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).
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Size: 977 |
Author: 杨合 |
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Description: 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.
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Size: 194910 |
Author: zhanglifang |
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Description: 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).
Platform: |
Size: 1024 |
Author: 杨合 |
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Description: 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.
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Size: 194560 |
Author: zhanglifang |
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Description: 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
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Size: 1056768 |
Author: 张少华 |
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Description: 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)
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Size: 5120 |
Author: 娟 |
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Description: 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.
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Size: 258048 |
Author: 王黛冰 |
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Description: 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
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Size: 5120 |
Author: deepsash |
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Description: 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.
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Size: 2048 |
Author: wangyi |
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Description: 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
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Size: 280576 |
Author: 张三 |
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Description: 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.
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Size: 5120 |
Author: HY |
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