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[Graph Recognize] gaborcreate DL : 0: gabor filter,,,for iris,,,,,,, -gabor filter, and, for iris ,,,,,,,
Date : 2026-01-08 Size : 1kb User :
[Graph Recognize] gaborfilter DL : 0: gabor filter 图像纹理提取边缘检测-gabor filter image texture extraction of edge detection
Date : 2026-01-08 Size : 3kb User : asdads
[Graph Recognize] code_Kalman DL : 0: 基于卡尔曼滤波器的物体追踪算法，很好用的，而且效率也很高-Kalman Filter-based object tracking algorithm, a very good use, but also high efficiency
Date : 2026-01-08 Size : 15kb User : 杜鲁燕
[Graph Recognize] UseMat DL : 0: Use Kalman Filter 机器人跟踪-Use Kalman Filter tracking robot
Date : 2026-01-08 Size : 73kb User : ranzoo
[Graph Recognize] gabor2d_sub DL : 0: 经典的Gabor滤波算法实现，利用指纹的局部特征包括脊线频率和方向通过求卷积实现带通滤波。-Classic Gabor filtering algorithm, using local features, including fingerprint ridge frequency and orientation, through seeking to achieve band-pass filter convolution.
Date : 2026-01-08 Size : 1kb User : heying
[Graph Recognize] gabor_11_15_01 DL : 0: Gabor filter implementation and usage sample
Date : 2026-01-08 Size : 281kb User : 邢延超
[Graph Recognize] gaborfilter DL : 0: 二维图像Gabor滤波matlab源代码-Two-dimensional Gabor filter image matlab source code
Date : 2026-01-08 Size : 2kb User : jiang
[Graph Recognize] gaborfilter2 DL : 0: gabor二维滤波器，能有效的提取细节纹理信息。-two-dimensional gabor filter, can effectively extract the details of texture information.
Date : 2026-01-08 Size : 1kb User : luowei
[Graph Recognize] Slam DL : 0: 几个很有用的在1D，2D，3D上的卡尔曼滤波器的MATLAB实现。可以供初学者学习！-Several very useful in 1D, 2D, 3D Kalman filter on the MATLAB implementation. Can be used for beginners to learn!
Date : 2026-01-08 Size : 34kb User : vivi
[Graph Recognize] lzlv DL : 1: 标准粒子滤波目标跟踪源码！一维情况下非线性非高斯,-Standard particle filter target tracking source! One-Dimensional Non-linear non-Gaussian,
Date : 2026-01-08 Size : 12kb User : ajie
[Graph Recognize] KalmanFilter(matlab) DL : 0: 这是Kalman filter的matlab源码，希望对大家有用。-This is the Kalman filter in matlab source, in the hope that useful.
Date : 2026-01-08 Size : 120kb User : lx
[Graph Recognize] csfilter DL : 0: 本程序是运用kalman filter实现机动目标跟踪的程序，其中运用的模型是当前统计模型！有需要的拿去，大家一起学习！-This procedure is to use kalman filter to achieve maneuvering target tracking procedure, in which the model is the use of current statistical model! Take in need and we can work together to learn!
Date : 2026-01-08 Size : 1kb User : 岳立川
[Graph Recognize] compare_of_edge_detect_methods DL : 0: 讨论和比较了几种常用的边缘检测算子。梯度算子计算简单 ,但精度不高 ,只能检测出图象大致的轮廓 ,而对于比较细的边缘可能会忽略。Prewitt 和Sobel算子比 Roberts 效果要好一些。LOG 滤波器和 Canny算子的检测效果优于梯度算子 ,能够检测出图象较细的边缘部分。不同的系统 ,针对不同的环境条件和要求 ,选择合适的算子来对图象进行边缘检测。-Discussion and comparison of several commonly used edge detection operator. Gradient operator is simple, but accuracy is not high, only to detect the outline of the image generally, and for the more detailed the edge may be ignored. Prewitt and Sobel operator is better than Roberts effect. LOG filter and Canny operator detection better than gradient operator, can detect the edge of a smaller part of the image. Different systems for different environmental conditions and requirements, choose a suitable operator to image edge detection.
Date : 2026-01-08 Size : 153kb User : liujia
[Graph Recognize] GaborFilter DL : 0: 基于GABOR函数的滤波器，试过了可以直接用的。文件中并给出了具体图形。-GABOR function based on the filter, can be tried directly used. Document and give a specific graphics.
Date : 2026-01-08 Size : 93kb User : 康俊芳
[Graph Recognize] 210131182200792892847635182 DL : 0: Optimized Gabor Filter Based Feature Extraction For Character Recognition
Date : 2026-01-08 Size : 324kb User : GCycle
[Graph Recognize] gabor DL : 0: Tutorial for Gabor filter basic-Tutorial for Gabor filter basic...
Date : 2026-01-08 Size : 157kb User : pranay
[Graph Recognize] Kalman DL : 0: 用卡尔曼滤波跟踪目标实例，跟踪效果很好，对卡尔曼可有最基础最形象的了解。-Kalman filter to track target instance, track a good effect, may have the most basic of Kalman most vivid understanding.
Date : 2026-01-08 Size : 1.05mb User : chenxl
[Graph Recognize] matched DL : 0: Matched Filter (Best detection on digital communication)
Date : 2026-01-08 Size : 1kb User : m
[Graph Recognize] dfbrec_l DL : 0: DFBREC_L Directional Filterbank Reconstruction using Ladder Structure x = dfbrec_l(y, fname) Input: y: subband images in a cell vector of length 2^n f: filter in the ladder network structure, can be a string naming a standard filter (see LDFILTER)- DFBREC_L Directional Filterbank Reconstruction using Ladder Structure x = dfbrec_l(y, fname) Input: y: subband images in a cell vector of length 2^n f: filter in the ladder network structure, can be a string naming a standard filter (see LDFILTER)
Date : 2026-01-08 Size : 1kb User : maple
[Graph Recognize] adaptive-Wiener-filter DL : 0: 非重叠背景噪声下的自适应维纳滤波模式识别方法.-Non-overlapping background noise of the adaptive Wiener filter pattern recognition methods.
Date : 2026-01-08 Size : 75kb User : angran

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