资源列表
Tiefpass-Hochpass
- 低通滤波器-高通滤波器的转化举例 针对Tschebyscheff_1
SIFT
- 本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 -The program will combine the SIFT and the edge of image registration is used to make the first detection of the key points with SIFT operator with CANNY edge detection and th
tool_image_6
- 基于fft和二进小波编写的二维小波多孔算法图像分解，效果不错-Fft and based on dyadic wavelet algorithm for the preparation of porous two-dimensional wavelet image decomposition, good results
xiaoboyuyinquzao
- 基于MATLAB的程序，用小波变换对语音信号进行去噪-MATLAB-based program, with wavelet transform to speech signal denoising
waveletDB4PRO
- 在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信号进行小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的-Understand the discrete wavelet transform in the fundamental principles and algorithms, based on the VC program by designing a simple one-dimensional signal wavelet coef
homework
- 图像去模糊，采用的是一阶巴特沃斯滤波器，滤波效果较好-Image to fuzzy, use is a one order bart wo filter, filtering effect is good
smoke-detection
- 此程序为我个人做的，通过指令人工选取烟雾区域，通过差分得到烟雾的动态前景图。-This program do for me personally, selected through the instruction manual of the smoke area, through the differential dynamic prospects diagram of the smoke.
face
- 可以通过代码确定一张图片中人脸的位置，多个人脸也可以检测出。-Through the code to determine the location of a picture of the human face, and can detect multiple faces.
hardfazhi
- 基于小波变换的硬阈值去噪算法的MATLAB代码 非常有效-Hard threshold wavelet denoising algorithm based on the MATLAB code is very effective
function-graph
- 这是一个简单的高次逼近函数的函数图像，它可以作为去噪的阈值函数，在阈值处是连续的。函数中的n值可以自己任意设置。还有几个阈值函数和阈值，在小波变换的每一层上选择不同的阈值-This is a simple high-order function of the approximation functions of the image, it can be used as a threshold function of de-noising,The function is continuous a
matlab
- 颜色空间转换，RGB到YUV的程序,这里主要提取Cr分量图像。测试成功-Color space conversion, RGB to YUV program
wavelet2
- get wavelet coefficient of a gray image till infinite level (by changing the i in source code). default is 4.-get wavelet coefficient of a gray image till infinite level (by changing the i in source code). default is 4.