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0_AmendmentsSummary
Ocr related documentataion
- 2010-11-23 23:42:32下载
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restore
说明: 图像增强的目标是改进图片的质量,例如增加对比度,去掉模糊和噪声,修正几何畸变等;图像复原是在假定已知模糊或噪声的模型时,试图估计原图像的一种技术。
图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号,对其进行基于二维傅里叶变换的信号增强。采用低通滤波(即只让低频信号通过)法,可去掉图中的噪声;采用高通滤波法,则可增强边缘等高频信号,使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波(取局部邻域中的中间像素值)法等,它们可用于去除或减弱噪声。
(A sharp and clear image is not directly produced
from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that
is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images
related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront
Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics
of the system are jointly optimized for optimum system performance.)
- 2010-04-07 15:41:40下载
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image_carrying_code
利用位图图像中的冗余数据位,将小文件嵌入到大的图像文件中,并保持原图像不变。(The use of bitmap images in the redundant data bit will be embedded in small files to large image files, and to maintain the original image unchanged.)
- 2009-03-03 03:22:30下载
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Soft_Morphology_Top_Hat
改进的数学形态学小目标检测,用于红外图像中的点目标检测,比传统的Top-Hat变换检测精度高(Small target detection improved mathematical morphology for point target detection in infrared images, higher detection accuracy than traditional Top-Hat transform)
- 2013-03-25 20:33:11下载
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bfilter.tar
这是二维图像双边滤波的相关程序,具有保边去噪的效果,适合对图像进行处理。(This is the two-dimensional image bilateral filtering procedures, with the edge-preserving denoising effect, suitable for image processing.)
- 2013-10-21 14:52:56下载
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Reversible-New-Code
Reversible data hiding in images
- 2011-09-08 15:09:36下载
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Particle-Filter
基于粒子滤波的目标跟踪源码,需要opencv和gsl两个库的支持,运行效率较高(Particle filter based target tracking source, two gsl library opencv and need the support of high efficiency)
- 2011-07-26 10:31:51下载
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LevelSet_ChunmingLi_v0
水平集代码和论文,图像分割,快速有效的图像分割方法(code and paper about level set,image segmentation)
- 2009-03-20 21:03:44下载
- 积分:1
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curveletdenoise
说明: curvelet变换贝叶斯估计方法,用于估计含噪声图像的噪声参数。再对图像进行去噪处理(curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing)
- 2008-10-26 11:57:03下载
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Data Acquisition
下面给出了48项泽尼克多项式,外加一项常数项。需要注意的是,读者并不需要严格按照下文所示的顺序排列这些泽尼克项,实际上在不同的应用和机构会采用不同的排列顺序。
表中的#0项是个常数或者说是平移项(piston term),这一项的系数也代表了平均光程差;而#1和#2项分别是x和y方向的倾斜项(tilt terms),#3代表了聚焦,因此,#1到#3项代表了波前的高斯或者近轴特性;#4和#5项代表了像散和离焦,#6和#7项代表彗差和倾斜,而#8项代表了3级像差和离焦,也就是说#4到#8项为3级相差项;同样地,#9到#15项代表了5级像差,而#16到#24项代表了7级像差,#25到#35项代表了9级像差,#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions.
Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)
- 2017-10-09 16:29:16下载
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