-
HOG+SVM进行图片中行人检测
说明： 行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)
- 2020-10-30 16:09:56下载
- 积分：1
-
Edge-Detection
边缘检测 Edge Detection Edge Detection(Edge Detection)
- 2014-05-08 13:49:15下载
- 积分：1
-
ImageFusionTools
用于图像融和的窗口化工具，包含了几乎所有的常用融和算法：pca, Ihs, 金子塔,小波变换，多孔小波变换，brovey融合等。(The window for image integration tools, including almost all of the commonly used integration algorithm: pca, Ihs, pyramid, wavelet transform, multi-Kong Xiaobo transformation, brovey integration.)
- 2009-10-07 21:28:09下载
- 积分：1
-
WAV-LSB-Watermark
WAV音频的LSB信息隐藏，隐藏文件为二值图像，Matlab编程(WAV audio LSB information hiding, hidden files as binary image, Matlab programming)
- 2020-11-18 17:49:38下载
- 积分：1
-
FinalWork
说明： 给定受感染红细胞图片，自动判定受感染红细胞数目(Given the picture of infected red blood cells, the number of infected red blood cells can be determined automatically.)
- 2019-04-03 21:24:24下载
- 积分：1
-
histogram.m
image processing
code for Histogram
- 2014-10-12 19:00:59下载
- 积分：1
-
遥感图像分类工具箱Active-Learning
遥感图像分类工具箱，包含多种基于支持向量机分类器的主动学习算法(active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms.)
- 2013-05-11 14:03:27下载
- 积分：1
-
冈萨雷斯
说明： 冈萨雷斯数字图像处理matlab版源码DIPUM Toolbax(Gonzalez digital image processing matlab version of the source DIPUM Toolbax)
- 2020-10-20 08:46:48下载
- 积分：1
-
Homomorphic-filter
数字图像处理同态滤波器 数字图像处理 冈萨雷斯二版 p153例4.10(Homomorphic filter Digital Image Processing Digital Image Processing Gonzalez p153 cases 4.10)
- 2012-11-10 11:32:12下载
- 积分：1
-
SURF-based-image-stitching
SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。
采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
(SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching.
This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching.
)
- 2014-08-30 15:12:42下载
- 积分：1
