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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: Video object matching across multiple independent views using local descriptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪，和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descriptors and adaptive learning article describes a multi-camera system under the target detection and tracking, and self-learning methods. Useful reference value.
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Size: 2234368 |
Author: 张涛 |
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Description: median filter
alpha-trimmed mean filter
adaptive,local noise reduction filter
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Size: 216064 |
Author: JiaJie |
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Description: 实现局部自适应直方图均衡功能,对图像实现争抢功能-The realization of local self-adaptive histogram equalization function
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Size: 4096 |
Author: jim green |
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Description: 自适应权重立体匹配算法，目前效果最好的局部匹配算法-Local and area-based matching methods
generally measure the similarity (or dissimilarity) between the image pixels using local support windows.
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Size: 306176 |
Author: mstar |
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Description: 针对低可见光图像和红外图像的特点,提出一种基于DT-CWT的自适应图像融合算法.该算法具有好的平移不变性和方向选择性,更适合于人类视觉.先对源图像作双树复小波变换,充分考虑各尺度分解层的系数特征,对
低通子带引入免疫克隆选择,根据统计评价准则定义亲和度函数,自适应获得最优融合权值 对高通子带则根据人类视觉特性定义局部方向对比度,并作为融合准则,突出和增强了各源图像的对比度与细节信息.实验结果表明:
与基于小波的融合结果相比较,本文的融合算法自适应性和鲁棒性更强,较好地保护和显示了源图像中的边缘和细节信息,对比度和清晰度都有所提高.
-Aiming at the characteristics of low visible light images and infrared images, a novel adaptive image fusion
scheme based on DT-CWTwas presented. The technique has good shift-invariance and directional selectivity, and ismore
suitable for human vision. The DT-CWTwas firstly used to perform amultiresolution decomposition of source images. By
taking advantage of the characters of the coefficients, the immune clonal selection algorithm was introduced in low-pass sub-
bands and almost optimal fused weightswere obtained adaptively. To high-pass subbands, the local directive contrastwas
defined, whichwas based on human visual system. And then the contrastof fused imageswas enhanced and the detail in-
formation of source imageswas protected. The experimental results show thatour fused technique is effective and the fusedimages have a better visual quality than theirwavelet counterparts.
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Size: 313344 |
Author: 赵昭 |
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Description: 自适应邻域的局部直方图均衡化算法
自适应邻域的局部直方图均衡化算法-Local Adaptive neighborhood histogram equalization algorithm
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Size: 1024 |
Author: 王迪 |
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Description: This book presents a comprehensive and unifying introduction to kernel adaptive fi ltering. Adaptive signal processing theory has been built on three pillars: the linear model, the mean square cost, and the adaptive least - square learning algorithm. When nonlinear models are required, the simplicity of linear adaptive fi lters evaporates and a designer has to deal with function approximation, neural networks, local minima, regularization, and so on. Is this the only way to go beyond the linear solution? Perhaps there is an alternative, which is the focus of this book. The basic concept is to perform adaptive fi ltering in a linear space that is related nonlinearly to the original input space. If this is possible, then all three pillars and our intuition about linear models can still be of use, and we end up implementing nonlinear fi lters in the input space. - This book presents a comprehensive and unifying introduction to kernel adaptive fi ltering. Adaptive signal processing theory has been built on three pillars: the linear model, the mean square cost, and the adaptive least - square learning algorithm. When nonlinear models are required, the simplicity of linear adaptive fi lters evaporates and a designer has to deal with function approximation, neural networks, local minima, regularization, and so on. Is this the only way to go beyond the linear solution? Perhaps there is an alternative, which is the focus of this book. The basic concept is to perform adaptive fi ltering in a linear space that is related nonlinearly to the original input space. If this is possible, then all three pillars and our intuition about linear models can still be of use, and we end up implementing nonlinear fi lters in the input space.
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Size: 1442816 |
Author: johnny |
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Description: opencv 图像的二值化，包括局部阈值，全局阈值，自适应阈值法，对初学者帮助很大-opencv image binarization, including the local threshold, the global threshold, adaptive threshold, very helpful for beginners
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Size: 2159616 |
Author: 于帆 |
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Description: Efficient Implementation of Local Adaptive Thresholding
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Size: 390144 |
Author: dharmishtha |
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Description: 该算法是利用形态学高帽变换进行首次图像分割，然后再利用局部自适应阈值分割进行细分割。对分割尺度不同的物体效果比较好。-The algorithm is using morphological top-hat transform the first image, and then using local adaptive threshold segmentation fine segmentation. Different objects segmentation scale better.
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Size: 6144 |
Author: 马金凤 |
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Description: 自适应邻域技术在图像处理方面运用的非常广泛，本文中所介绍的两种自适应邻域技术——各向异性局部多项式近似—置信区域交集[1] (LPA-ICI，Local Polynomial Approximation—Intersection of Confidence Intervals)技术和区域生长[2] (region growing)技术是目前为止使用最为广泛两种。本文分别使用点的灰度值预选取、矩形块的均值预选取和自适应块预选取来驱动这两种自适应邻域算法来实现自适应邻域的生成，并将自适应邻域技术应用于图像去噪。-Digital Image Processing Adaptive Neighborhood preselection Anisotropic LPA – ICI Region Growing
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Author: 王海明 |
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Description: 出了一种恢复高质量稠密视差图的立体视觉合作算法．该算法采用基于形态学相似性的自适应加权方
法，迭代地进行局部邻域的自适应聚合和抑制放大，实现高效率和高质量稠密视差图计算．将该算法推广到三目摄像
机立体匹配系统中，通过重建摄像机坐标系实现图像校正，并根据连续性假设和唯一性假设，建立视差空间中的支持
关系和三目摄像机之间的抑制关系．实验结果表明，三目立体合作算法能够得到精确的场景视差映射，并可以实现多
基线方向的遮挡检测．该算法特别适用于由多个廉价摄像机组成的立体视觉系统，在几乎不增加软件和硬件资源的
情况下。就可以得到高质量的稠密视差图．-Out of a dense disparity map to restore quality stereoscopic cooperative algorithms. The algorithm based on adaptive weighted morphological similarity method iteratively local neighborhood adaptive aggregation and inhibition of amplification to achieve high efficiency and high quality dense disparity map calculation. The algorithm is extended to trinocular stereo matching system, by rebuilding the camera coordinate system for image correction, and assumptions based on continuity and uniqueness of the assumptions in establishing a supportive relationship disparity space and trinocular relationship between inhibition. Experimental results show that the algorithm can cooperate trinocular stereo scene accurate parallax map and can achieve more occlusion detection base line direction. The algorithm is particularly suitable for low-cost cameras consisting of a plurality of three-dimensional vision system, almost no increase in the software and the hardware resources. You can get high-quality
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Author: aaron |
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Description: OpenCV基于局部自适应阈值的图像二值化
-OpenCV based on local adaptive threshold binarization
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Size: 1024 |
Author: 王烽 |
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Description: 一种自适应的非局部均值滤波器，降噪活细胞图像和完善
粒子探测-An adaptive non-local means filter for denoising live-cell images and improving
particle detection
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Size: 1484800 |
Author: dang |
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Description: 本文介绍了非局部均值算法的一些内容，包括与其他算法的去噪功能比较。-This article describes some of the content of non-local means algorithm, including comparison with other algorithms noising function.
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Size: 1534976 |
Author: 胡海兵 |
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Description: 4复小波包域遥感图像局部自适应融合算法
-4 after local adaptive wavelet packet field remote sensing image fusion algorithm
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Size: 2111488 |
Author: fangsm |
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Description: 区域自适应性阈值算法，数字图像处理中十分常用的一个算法，常用于获取图像的边界。-local adaptive threshold
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Size: 149504 |
Author: 王梦杰 |
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Description: 局部适应插值的IBP算法，与双线性插值以及立方卷积插值相比较，该算法能够取得更好的差值效果，从而减少重构时间。-Local adaptive interpolation, IBP algorithm, compared with the bilinear interpolation and cubic convolution interpolation, the algorithm can obtain better difference effect, thus reducing the reconstruction time.
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Size: 576512 |
Author: 文玉强 |
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Description: 对影像进行加噪声，和全局，局部，自适应阈值去噪，计算信噪比-It was added to the image noise, and global, local, adaptive thresholding, computing SNR
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Size: 4096 |
Author: 范奎奎 |
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