Description: 基于VC++开发的部分图像识别算法，包括：updown，graygrid，histrogram，roberts，laplace，pickup，outline，GaussianSmooth等。 -based on the development of the VC part of an image recognition algorithm, including : updown, graygrid. histrogram, roberts, Laplace, pickup, outline, GaussianSmooth so. Platform: |
Size: 64512 |
Author:交角 |
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Description: Harris Corner角点检测，可以通过设置高斯窗口宽度、高斯函数方差、非极大抑制领域和阀值，来改变提取点角点的范围和数目。-corner detection, can set the Gaussian width of the window, Gaussian function variance, non-inhibited areas and great threshold to change the point from the corner of the scope and number. Platform: |
Size: 3793920 |
Author:王天麟 |
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Description: 用C语言编写随机信号的产生：包括均匀分布，高斯分布，二项式分布，锐利分布，
对数高斯分布，泊松分布，拉普拉斯等分布。-Using C language of the generated random signal: including uniform distribution, Gaussian distribution, binomial distribution, a sharp distribution, logarithm Gaussian distribution, Poisson distribution, Laplace distribution. Platform: |
Size: 2235392 |
Author: |
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Description: 拉普拉斯高斯边缘检测的C程序源码，接口已封装，可以在你的工程中调用-Laplacian Gaussian edge detection procedure of the C source code, interface has been packaged, you can call your project Platform: |
Size: 1024 |
Author:liutong |
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Description: 边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡-Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between Platform: |
Size: 1024 |
Author:xiaowei |
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Description: 这包括代码为“扩展”和“减少”程序,对高斯图像金字塔,探讨了作为一个紧凑的拉普拉斯金字塔图像编码”-伯特和Adelson,1983年。
重要的应用同样的包括运动估计精度等。-This contains the code for the Expand and Reduce routines for Gaussian image pyramids, as discussed in the Paper- "
The Laplacian Pyramid as a Compact Image Code"- Burt and Adelson, 1983.
Important applications of the same include motion estimation etc. Platform: |
Size: 2048 |
Author:贾雨 |
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Description: 高斯过程在分类中的应用。本程序采用拉普拉斯逼近基于高斯过程的贝叶斯分类。-Gaussian process in the Classification. This procedure uses the Laplace approximation of Gaussian processes based on Bayesian classification. Platform: |
Size: 44032 |
Author:hu |
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Description: Keypoint Extraction
-The current directory contains functions allowing to extract keypoints also called "feature points", "corners", "interest points", etc. The following algorithm are provided :
- Harris
- SUSAN
- Harris-Laplace
- Laplacian of Gaussian (LoG)
- Gilles Platform: |
Size: 1024 |
Author:dantes |
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Description: 本程序是车牌检测中的部分代码，是用高斯拉普拉斯进行边缘提取的代码，希望大对大家的编程有所帮助-This program is part of the code in the license plate detection is Gaussian Laplace edge detection code, and hope for all programming help Platform: |
Size: 5120 |
Author:ZHANGAIJUAN |
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Description: 拉普拉斯高斯算子
拉普拉斯—高斯算子（Laplacian of Gaussian算子，通常缩写为log算子）是一种二阶微分算子，将在边缘处产生一个陡峭的零交叉。-Laplace Gaussian operator Laplace- Gaussian operator (Laplacian of Gaussian operator, often abbreviated as log operator) is a second-order differential operator, will be generated at the edge of a steep zero crossing. Platform: |
Size: 3072 |
Author:包 |
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Description: matlab编写的角点检测算子，包括Harris，SUSAN，Harris-Laplace，Laplacian of Gaussian (LoG)以及Gilles五种算子，内含测试图像-matlab prepared corner detection operator, including Harris, SUSAN, Harris-Laplace, Laplacian of Gaussian (LoG) and Gilles five kinds of operators, including test image Platform: |
Size: 3579904 |
Author:xiaoxian |
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Description: 传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这
一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT)
系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表
示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的
语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优
于传统的语音增强方法。-The spectral components of speech are usually assumed to be independent in traditional short-time
spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm
with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform
(DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral
components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed
model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech
presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show
that the developed method has better noise suppression performance and lower speech distortion compared to the
traditional speech enhancement method. Platform: |
Size: 1054720 |
Author:立枣酒 |
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Description: 拉普拉斯金字塔在图像融合中有所应用，方法是首先对两个待融合图像求拉普拉斯残差金字塔，然后用模板对每一级残差图像进行融合得到融合后图像的残差金字塔，然后对这个金字塔进行重构就能得到最终的融合图像，图像各尺度细节得到保留。（注：融合时模板一般会先用高斯函数模糊一下）
不过这里不实现融合，只实现拉普拉斯金字塔的建立。
-Laplace pyramid has applications in image fusion method is to first find two images to be fused Laplacian pyramid residuals, and then use the template for every level of residual image obtained after fusion image fusion residuals pyramid, then the pyramid will be able to get the final reconstructed image fusion, image detail is preserved for each scale. (Note: the fusion template will normally use the Gaussian blur it)
But here is not to achieve integration, implementation only establish Laplace pyramid. Platform: |
Size: 99328 |
Author:flyingeye10 |
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Search - laplace of gaussian