资源列表
flowdetection
- 利用图像光流信息检测视频序列中是否存在剧烈运动情况-Whether there is the use of optical flow image information detecting video sequences violent movement
canny
- canny边缘检测算子，详细的介绍了三个准则如何抽象到数学问题，再到编程实现-Canny edge detection operator, a detailed introduction of how to abstract three guidelines to the mathematical problem, and then to the programming
Lire-SimpleApplication-1.0b2
- a Java library that provides a simple way to retrieve images and photos based on color and texture characteristics.
Subpixel-Matlab-v2.11
- A. Trujillo-Pino, K. Krissian, M. Alemán-Flores, and D. Santana-Cedrés, “Accurate subpixel edge location based on partial area effect” , Image Vis. Comput., vol. 31, no. 1, pp. 72–90, 2013. 的matlab源代码-The code of “Accurate subpixel edge location base
MATLAB-for-Image-and-Video
- matlab图像与视频处理的电子书，案例较全面并付代码。-matlab image and video processing books, more comprehensive case and pay codes.
CCA
- 一些关于脑电信号中噪声的去除ICA算法的实现，所用脑电信号为SSVEP试验。只是一些小程序，还有很多不足，望补充-Some implementations on removing ICA algorithm of noise in EEG, EEG is used SSVEP test. Just some small programs, there are many shortcomings, hope others added this
1
- 图像反转 灰度线性变换 非线性变换 直方图均衡化 线性平滑滤波器 中值滤波器-Image is reversed gray linear transformation linear transformation linear histogram equalization median filter smoothing filter
2
- 用Sobel算子和拉普拉斯对图像锐化 梯度算子检测边缘 LOG算子检测边缘 Canny算子检测边缘 边界跟踪（bwtraceboundary函数）Hough变换-Sobel operator and Laplacian operator image sharpening gradient edge detection LOG operator edge detection operator Canny edge detection boundary tracing (bwtraceboundar
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- 直方图阈值法 自动阈值法：Otsu法 膨胀操作 腐蚀操作 开启和闭合操作 开启和闭合组合操作 形态学边界提取-Histogram Threshold automatic threshold: Otsu method dilation etching operation opening and closing operation of the opening and closing operation of a combination of morphological bo
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- 形态学骨架提取和直接提取四个顶点坐标，都是matlab图像处理的-Morphological skeleton extraction and direct extraction of four vertex coordinates are matlab image processing
sr_by_example-master
- 图像超分辨率重建,基于例子的单幅图像处理，对于图像处理初学者有很大帮助-image supreme-resolution，Based on the example of a single image processing, are of great help for beginners to image processing
proj4
- 使用滑动窗的人脸检测，滑动窗口能够独立地对图片块进行分类，以确定是否属于被检测目标。内容如下： 1)载入正样本训练集（人脸），并将其转化为HoG特征 2)载入负样本训练集（没有人脸的任意场景），也将其转化为HoG特征 3)使用SVM，对分类器进行训练，训练集包括正训练集和负训练集 4)使用训练好的分类器，在不同的尺度上，对测试集进行分类 -Face detection with a sliding window.