-
fft2andiff2
自己编写fft2和ifft2程序并进行快速傅里叶变换试验(fft2 and ifft2)
- 2012-04-27 20:28:28下载
- 积分：1
-
GaborTexture
使用MFC以及Gabor小波处理进行图像的特征纹理提取(Using MFC and Gabor wavelet to extract texture features for image)
- 2011-10-07 08:46:32下载
- 积分：1
-
trackingdemos
说明： 一个目标跟踪的代码，是个完整的历程，可以跟踪多个目标，效果还可以(A target tracking code is a complete course, can track multiple targets, the effect can also be)
- 2008-08-27 10:50:58下载
- 积分：1
-
GUI
说明： 首先对指纹图像进行预处理，包括图像的分割，增强，二值化，细化。对细化后的图像进行特征点的提取，最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.)
- 2019-05-07 13:46:08下载
- 积分：1
-
eusipco_2012_code
基于学习字典的方法进行彩色图像修复
字典学习方法用FastICA(INPAINTING COLOR IMAGES IN LEARNED DICTIONARY )
- 2012-11-27 15:25:22下载
- 积分：1
-
jsttg
Complete class-based image processing, contains all of the source code, auto image, There are cycle detection, periodic testing, MIT Artificial Intelligence Laboratory identification of the target source.
- 2017-09-22 13:35:56下载
- 积分：1
-
K-Means PCA降维
K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)
- 2017-06-22 22:05:55下载
- 积分：1
-
MPPT-Model-
光伏电池组 局部阴影时输出模型 P-U曲线 I-U曲线 simulink实现 (PV Systems Operating Under Partially Shaded Conditions)
- 2020-10-04 17:07:39下载
- 积分：1
-
CV1
说明： 属于图像分割的一种，利用matlab实现CV型,可以当function使用。其中包含图片，可以进行使用。(It belongs to one kind of image segmentation, and uses MATLAB to realize CV type, which can be used as function.It contains pictures, which can be used.)
- 2019-04-16 21:59:34下载
- 积分：1
-
SparseLab200-Core
基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观
的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均
匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后
采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和
噪声）。(In this paper, we propose a novel method for solv-
ing single-image super-resolution problems. Given a
low-resolution image as input, we recover its high-
resolution counterpart using a set of training exam-
ples. While this formulation resembles other learning-
based methods for super-resolution, our method has
been inspired by recent manifold learning methods, par-
ticularly locally linear embedding (LLE). Speci?cally,
small image patches in the low- and high-resolution
images form manifolds with similar local geometry in
two distinct feature spaces. As in LLE, local geometry
is characterized by how a feature vector correspond-
ing to a patch can be reconstructed by its neighbors
in the feature space. Besides using the training image
pairs to estimate the high-resolution embedding, we
also enforce local compatibility and smoothness con-
straints between patches in the target high-resolution
image through overlapping. Experiments show that our
method is very ?exible )
- 2010-11-07 11:15:03下载
- 积分：1
