▍1. phased-array-ultrasonic-imaging-
相控阵超声成像检测，很好的一本书，从网上买的，分享给大家(Phased array ultrasonic imaging detection, a very good book, bought from the Internet and share to everyone)
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▍2. PAPER11
一种基于惯导信息的多普勒波束锐化图像拼接算法(A Doppler beam sharpening image stitching algorithm based on inertial navigation information)
▍3. cvpr12_mfc
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)
▍4. datamining
base papers of matlab data mining in image processing base papers
▍5. OJ1211010001486B9EbH
基于局部能量与模糊逻辑的红外偏振图像融合，该文与小波包，支持向量机等融合算法进行对比分析，说明该文算法的优势。(Infrared polarization image fusion based on local energy and fuzzy logic, this paper, wavelet packet, support vector machines and other fusion algorithm comparison analysis to illustrate the advantages of the proposed algorithm.)
▍6. PFCp2FAPENDICESp2FApendice-B
Information of transform watershed
▍9. 22
基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)
▍10. Compressive-Image-Super-resolution
压缩感知和超分辨率论文，关于如何将低分辨率的图像如何重建成高分辨率图像，很有用(compressed sensing and super resolution)
▍12. Image-de-noising-algorithm-using
提出了一种基于非下采样Contourlet 变换的自适应图像去噪方法 首先对噪声图像进行非下采样Contourlet 变换，得到各 个尺度各个方向子带的系数，再根据该系数的能量自适应地调整去噪阈值 实验表明，与Contourlet 多尺度阈值去噪 Contourlet 自 适应阈值去噪相比，该方法在保留图像边缘细节的同时，能提高图像的PSNR 值，减少了Gibbs 现象(A new adaptive method of image de-noising based on NonSubsampled Contourlet Transform （NSCT）is presented.Firstly， the noisy image is decomposed into a set of multiscale and multidirectional frequency subbands by NSCT， and then the threshold is adapted automatically according to the energy of subband coefficients.Compared with the multi-scale threshold using contourlet transform and using adaptive threshold based on contourlet transform， the simulation results show that the performance of this method is superior in PSNR， meanwhile it can maintain the image edge and reduce the Gibbs phenomen)
▍13. BandeletsTutorial[1]
The second generation bandelets [Peyr´ e and Mallat 2005c] is a orthogonal multiscale transform that is able to capture thegeometric content of images and surfaces.
▍15. The-Mathematics-of-Medical-Imaging---A-Beginners-
The Mathematics of Medical Imaging-The Radon Transform,Back Projection,Discrete Image Reconstruction,The Fourier Transform,Filters and convolutions
▍16. DIPUM2E_AppendixA
数字图像处理有关的论文，很优秀，很有指导意义的一篇论文。(Digital image processing the papers, very good, very instructive paper.)
▍17. Local-dynamic-threshold
针对图像全局Otsu 分割算法和传统的局部阈值分割算法在复杂背景图像分割中的不足, 提出了一种采用局部动态阈值的图像分割算法。(Image segmentation algorithm for global Otsu and traditional local threshold segmentation algorithm in complex background image segmentation the insufficiency, puts forward a dynamic threshold use local image segmentation algorithm.)
▍18. Digital-Image-Processing-writed-by-Gonzalez-secon
Digital Image Processing writed by Gonzalez second edition of the Chinese version
▍19. compressive-sensing
关于图像分块压缩感知，及测量矩阵加权的三篇文章(Three articles on the image block compressed sensing, and measurement matrix weighted)
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