资源列表
Texture-features
- matlab编写的用于实现灰度共生矩阵，灰度-梯度共生矩阵，灰度直方图，协方差系数，LOG滤波器的源代码了。全部经过测试，可以直接使用。对于做纹理分析很有帮助。一共有五个代码-matlab prepared for the realization of Gray Level Co-occurrence matrix, gray- gradient co-occurrence matrix, gray histogram, covariance coefficients, LOG source c
HMMDemo
- 基于Opencv和Visual C++技术，编程实现的人脸识别系统，可以实现人脸的自动识别，在ORL人脸库中取得了98 的识别率-Based on Opencv and Visual C++ technology, programming of the face recognition system that can realize the automatic face recognition, in the ORL face database has achieved 98 recognit
cgm
- 一个使用java撰写的矢量图形库，能够用于对cgm矢量图像进行转换和显示处理。-Using a vector graphics library written in java can be used to cgm vector image conversion and display processing.
DIPDemo
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》7 V图像的点运算,几何变换, 图像增强,彩色图像处理,实用案例——汽车牌照的投影失真校正-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Re
JPEG2YUV
- 把单个JPEG文件或一个目录下所有JPEG文件转换成一个YUV文件。-Convert JPEG file(s) into a single YUV file
15
- matlab 图像处理 显示两幅子图像的归一化互相关-matlab image processing show that two sub-image of normalized cross-correlation
usb-carmer-matlab-RT-process
- 通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题-Usb camera through the computer for image acquisition, and real-time processing and tracking moving objects in which, and the count median filter
Picture
- 图像处理中的标准测试图像，希望对大家有用-standard test image in image processing
tuxiangchuli
- 用vb实现了对图片的读取和显示，并对图像进行高斯平滑，灰度图像直方图的显示。还主要实现了图像轮廓的边缘检测：包括各种算子检测。-Achieved using vb read and display the picture, and Gaussian smoothing the image, gray image histogram. Also outline the main achievement of the image edge detection: including operator
Multiscale-Normalized-Cuts-
- 图像处理中的多尺度分割程序，使用matlab开发环境-Image processing procedures for multiscale segmentation
abersim-2.0
- 非线性超声成像仿真工具，考虑组织畸变、衰减、谐波等因素。-toolbox for nonlinear ultrasound imaging simulation
KSVD
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.