-
deeplab V3和unet
利用全卷积神经网络,实现图像的语义分割,基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)
- 2019-05-31 22:03:57下载
- 积分:1
-
watershed
3种不同的分水岭分割方法以及三种方法的比较(3 different methods of watershed segmentation and Comparison of Three Methods)
- 2009-05-25 17:30:55下载
- 积分:1
-
Retinex+CLAHE
说明: 结合Retinex和CLAHE图像去雾,Retinex有ssr,msr,msrcr。(Combine Retinex and clean image to remove fog)
- 2021-01-27 12:08:35下载
- 积分:1
-
Image-Restoration-by-total-variation
基于全变分(TV)的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时,利用其它通道的图像特征辅助进行去模糊或反卷积,效果不错!!附带有对应的文章做参考。(This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tested with different noise with different regularization parameters. It also compared with otherhods.)
- 2013-08-30 22:13:45下载
- 积分:1
-
FFT
在matlab环境中用快速傅里叶变换实现多目标追踪,计算的非常快(Matlab environment using the fast Fourier transform to achieve multi-target tracking, very fast calculation)
- 2012-12-01 16:01:21下载
- 积分:1
-
cnn-cbir-benchmark-master
python语言,使用卷积神经网络的特征做图像检索(image retrieval using CNN)
- 2021-04-12 11:58:57下载
- 积分:1
-
SHAPE-FROM-CODED-APERTURE-
本文中我们提出一个新颖的算法分析和
估计深度从单个图像捕捉到一个编码的孔径
相机。这是一个具有挑战性的问题,需要
新的工具和调查,而多视点重建。
(In this paper we present analysis and a novel algorithm to
estimate depth from a single image captured by a coded aperture
camera. This is a challenging problem which requires
new tools and investigations, compared with multi-view reconstruction.)
- 2012-10-30 16:12:27下载
- 积分:1
-
wiener_ECG
对理想的心音信号加入噪声,仿真成实际带噪声的心音信号,然后对其进行维纳滤波程序(The ideal heart sound signal added noise, simulation into actual heart sounds with noise signal, and then its Wiener filtering program)
- 2021-03-21 14:59:17下载
- 积分:1
-
image-processing
全部都是图像处理的最新文献,与激光雷达有关,利用激光与摄像头结合,实现主动驾驶(image processing)
- 2021-03-18 16:09:20下载
- 积分:1
-
python
通过GAN和WGAN在python的tensorflow平台上实现图片生成,与真实图片基本一致。(Through GAN and WGAN, the image generation is realized on the tensorflow platform of python, which is basically the same as the real picture.)
- 2020-10-16 16:57:29下载
- 积分:1