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Chan-Vese
CV源码 levelset模型分割图像源代码(CV code)
- 2009-06-01 15:22:02下载
- 积分：1
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xiaobo
数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。
含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)
- 2019-06-04 10:40:35下载
- 积分：1
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Crop_photo
实现对图像的任意形状的裁剪。注意：图像裁剪后带有背景色(Realization of arbitrary shape image cropping. Note: the image is cropped with a background color)
- 2014-12-21 21:07:23下载
- 积分：1
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knn
knn k近邻算法，可选择欧式距离或者曼哈顿距离(knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance)
- 2008-08-25 16:24:22下载
- 积分：1
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fisherplot
运用fisher方法进行pca降维和Lda特征提取的人耳识别。(Use fisher method Lda PCA dimensionality reduction and feature extraction to identify the human ear.)
- 2008-05-13 20:35:12下载
- 积分：1
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bp-vision-master
说明： 置信度传播立体匹配，matelab就能运行，比较简单
1、需要Matlab 2013a及以上版本；
2、运行demo_stereo.m，注意修改图片路径；
3、左右图像使用3通道灰度图；(Confidence propagation stereo matching, MATELAB can run, relatively simple
1. Matlab 2013a and above is required;
2. Run demo_ Stereo. M, pay attention to modifying the image path;
3. The left and right images use 3-channel gray-scale images)
- 2020-06-04 14:53:27下载
- 积分：1
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KMeans
说明： K均值算法，Matlab实现，输入分类数，实现分类(K means algorithm, Matlab implementation, enter the number of classifications to achieve classification)
- 2010-03-22 16:16:21下载
- 积分：1
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JSteg
JSteg隐写技术matlab实现代码--基本思想：用秘密信息比特直接替换JPEG图像中量化后DCT系数的最低比特位，但若量化后DCT系数为0或者1，则不进行处理。（DCT系数的LSB嵌入）
(JSteg steganography matlab code- the basic idea: direct replacement with the secret information bits JPEG image quantized DCT coefficients in the least significant bit, but if the quantized DCT coefficient is 0 or 1, no processing. (DCT coefficients LSB embedding))
- 2020-12-21 15:59:09下载
- 积分：1
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非均匀有理B样条 第2版
说明： 非均匀有理B样条 第2版.pdf
NURBS理论经典书籍(The nurbs book(second edition)
NURBS Theory Classic Books)
- 2019-06-25 02:52:58下载
- 积分：1
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PCA
主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)
- 2021-01-28 21:48:40下载
- 积分：1
