singalframenuc

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)

遥感图像处理源代码，包括遥感影像读入、几何校正、影像重采样等等(Remote sensing image processing code)

说明：  基于块分割的图像拼接，将图像按块拼接，缺点是速度很慢，算法有待改善(Block-based segmentation of the image mosaic, mosaic images by block, the disadvantage is very slow, the algorithm needs to be improved)

non-local means denoising 自己实现的非局部均值图像去噪的原始算法，对理解算法原理有一定帮助(Non-local means denoising： an implementation of the non-local means denoising of the original algorithm, some help understanding algorithm)

将脉冲耦合神经网络PCNN和聚类结合实现灰度图像分割(will PCNN PCNN combining clustering and gray image segmentation)

说明：  对图像进行行列循环加密，采用的是3维混沌系统来增强图像加密的安全性(The 3-D chaotic system is used to enhance the security of image encryption)

8路串行lvds转单路并行axistream(8 single-pathLVDS to 1parallel AXI_Stream)

OPENCV做图像变形的经典代码啊，适合比较初级的同学看看(OPENCV do image warping the classic code ah, suitable for elementary students to see more)

这是一种对TV模型算法的一种快速改进算法，C++实现，在Code::Blocks下编译成功(This is a TV model algorithm for a fast algorithm, C++ achieve, in the Code :: Blocks compile successfully under)

在目标图像中找出已经给出的训练图像。通过训练训练图像得到参数，来找出目标图像中的训练图像(Has been given in the target image to identify the training image. TRAINING image parameters to identify the training images of the target image)