-
AviPclass
AVI视频流数据读写类库！供视频图像处理编程参考！非常好用！(AVI video stream class library for reading and writing data. Video image processing for programming reference! Very handy!)
- 2007-05-25 10:32:16下载
- 积分：1
-
Gabor和Log Gabor
说明： 包括三种gabor方案，3尺度4方向、4尺度6方向、5尺度8方向(Includes three gabor schemes, 3 scale 4 direction, 4 scale 6 direction, 5 scale 8 direction)
- 2019-05-30 19:38:12下载
- 积分：1
-
稀疏分解图像去噪
基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)
- 2020-10-22 19:47:23下载
- 积分：1
-
matlab手写数字图像处理样本加函数加测试结果表
如题，matlab手写数字测试图像处理 样本（30+50个）加全代码加测试结果(Like title, matlab handwritten digital test image processing samples (30 + 50) plus full code plus test results)
- 2020-06-23 21:20:01下载
- 积分：1
-
erjinxiaobo
二进小波多级分解。基于二进小波的图像度尺度分解和边缘检测，效果还行。(into two multi-level wavelet decomposition. Based on Wavelet Image degrees scale decomposition and edge detection, the results were OK.)
- 2007-06-08 21:51:39下载
- 积分：1
-
matlab_gaosumubiao
高速机动目标检测跟踪的程序，好不容易写的，请珍惜(High-speed target detection)
- 2012-06-14 11:09:50下载
- 积分：1
-
qpso-svm
本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性(This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method)
- 2008-06-26 21:31:08下载
- 积分：1
-
1
基于opencv的图像灰度化，将24位彩色图像重新量化为8位灰度图像(gray image)
- 2013-12-12 21:56:49下载
- 积分：1
-
SparseMatrixOfExamples
稀疏矩阵的实例，讲述如何用稀疏矩阵进行实际的编程。本例是以超市购物为实际背景。(Examples of sparse matrix)
- 2010-07-29 09:57:15下载
- 积分：1
-
MATLAB指纹识别（GUI，比对两幅指纹，完美运行）
说明： 本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)
- 2020-02-16 22:03:11下载
- 积分：1
