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[Mathimatics-Numerical algorithms] MeanShiftCluster DL : 0: Mean shift clustering. K means clustering.
Date : 2025-12-21 Size : 2kb User : Ezekiel
[Mathimatics-Numerical algorithms] VIS DL : 0: 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,object tracking,feature generation. It developed based on VC2008 and OpenCV library. The friendly interface is very convinient for new learners.
Date : 2025-12-21 Size : 7.15mb User :
[Mathimatics-Numerical algorithms] An-Improved-Mean-Shift-Algorithm DL : 0: 奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标颜色分布的缺点，提出J，一种改进算法．该改进算法首先对目标的颜色进行聚类分析，根据聚类结果通过矩阵分解和正交变换自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间．在此基础上定义一种新的颜色模型，该模型统计落入每一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布，并推导r一种相似性度量米比较目标和候选目标的颜色模型之间的相似程度．最后基于该颜色模型提出J，改进算法．实验表，基于该颜色模型的改进算法比经典的Mean Shift算法具有更好的性能，向跟踪时间与经典算法大致相．-The traditional Mean Shift tracking algorithm partitions uniformly the whole color space，leading to a great number of void histogram bins，and is unable to represent accurately the color distribution of the object．To address the problems，we present an improved algorithm．Firstly the object color is analyzed using a clustering algorithm，and according to the clustering result the color space of the object is partitioned into subspaces by matrix factorization and orthonormal transformation．Then a new color model is defined by considering the weighted number of pixels as well as within—cluster distribution with Gaussian ．and a novel measure iS derived to evaluate the similarity between the reference color model and the candidate mode1．Finally an improved algorithm is proposed based on the color mode1．Experiments show that the improved algorithm has better performance than and is computationally comparable to the conventional mean shift algorithm．
Date : 2025-12-21 Size : 430kb User : 陈方芳
[Mathimatics-Numerical algorithms] segmentation DL : 0: The Mean Shift algorithm clusters an n-dimensional data set (i.e., each data point is described by a feature vector of n values) by associating each point with a peak of the data set’s probability density.
Date : 2025-12-21 Size : 69kb User : sujith
[Mathimatics-Numerical algorithms] Mean_Shift_A_Robust_Approach_toward DL : 0: Mean-shift算法的经典文献，里面介绍了它的算法步骤和具体应用，不可不读。-Mean-shift algorithm classic literature, which introduced its algorithm steps and specific applications, can not read.
Date : 2025-12-21 Size : 4.89mb User : 陈飞
[Mathimatics-Numerical algorithms] COSFIRE DL : 0: COSFIRE是一个有效的滤波器，它可以自动的为图像画出轮廓，可以配置出gabor滤波器，配置一定的模糊参数和移位参数-A COSFIRE filter is automatically configured to be selective for a local contour pattern specified by a single example. The configuration comprises selecting given channels of a bank of Gabor filters and determining certain blur and shift parameters. Gabor filters are, however, not intrinsic to the method and nay other orientation-selective filters can be used. A COSFIRE filter response is computed as the weighted geometric mean of the blurred and shifted responses of the selected Gabor filters. It shares similar properties with some shape-selective neurons in visual cortex, which provided inspiration for this work.
Date : 2025-12-21 Size : 95kb User : 高伟哲
[Mathimatics-Numerical algorithms] meanShiftPixCluster DL : 0: This a good demo of showing how the mean shift idea works for image pixel clustering- This is a good demo of showing how the mean shift idea works for image pixel clustering
Date : 2025-12-21 Size : 161kb User : nurul hazwani