-
water_tut1
这个是老师给我的英文翻译的文献,对于要找关于数字音频水印研究的同学有帮助。(This is the teacher gave me the English translation of literature for students to find on a digital audio watermarking.)
- 2012-04-18 15:05:12下载
- 积分:1
-
testpipei
基于灰度和matlab编写的图像匹配源代码,运行效果不错(Prepared based on the gray and the image matching matlab source code, run the effect of good)
- 2009-04-03 16:44:40下载
- 积分:1
-
sift_test
sift图像处理的一个测试的代码,他是用C++写的 用到了opencv中的一些函数(sift image processing as a test of the code, he wrote with C++ uses some of the opencv function)
- 2013-07-27 22:19:41下载
- 积分:1
-
matlab灰度图象缩小实验
实现了基于MATLAB的灰度图像缩小,可通过修改程序获得想要的性质(Reduction of gray image based on MATLAB.The desired nature can be obtained by modifying the program.)
- 2018-04-17 10:54:25下载
- 积分:1
-
matlab.thresholding-master
说明: 在计算机视觉中,图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割;也就是说,将强度值低于阈值的所有像素设置为背景值,而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值,而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地,阈值处理从灰度图像开始,并输出二进制图像以清晰地描绘图像中的片段。在本实验中,我们开发了一种自适应阈值算法,并将其与更简单的算法进行了比较。 此外,我们还开发了逆运动学证明来将机械臂移动到给定的x,y,z坐标。这一证明涉及三种命名身份,并获得了对机械臂设计的更好理解。(Image threshold segmentation)
- 2019-04-14 15:41:02下载
- 积分:1
-
Kmeans-MATLAB
说明: 该代码能够实现K均值聚类算法对彩色图像分割,在MATLAB下实现。(The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.)
- 2011-04-16 20:50:55下载
- 积分:1
-
kmeans
K均值图像分割,读入彩色图片,输出区域分割后的图片(K-means image segmentation, read full-color photographs, the output image after the region segmentation)
- 2008-08-14 11:08:57下载
- 积分:1
-
differential-operation
实现图像的滤波、锐化、边缘检测、微分处理及图像平滑(Image filtering, sharpening, edge detection, differential processing and image smoothing)
- 2013-02-27 21:00:36下载
- 积分:1
-
real-pictures-imaging
利用已有真实场景色彩图片转换为灰度图像,实现SAR成像处理,(Use of existing real scene color images converted to grayscale images, the SAR imaging processing)
- 2013-03-17 10:00:25下载
- 积分:1
-
FaceRecognitionBasedonWaveletTransform
基于小波变换的人脸识别代码本代码对图像进行小波分解,然后又用最近邻方法实现了图像的识别。(Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!)
- 2009-11-03 15:57:12下载
- 积分:1