搜索资源列表
411
- 矩阵中的每一个元素称为像元、像素或图像元素。而g(i, j)代表(i, j)点的灰度值,即亮度值。 由于g (i, j)代表该点图像的光强度(亮度),而光是能量的一种形式,故g (i, j)必须大于零,且为有限值,即: 0<=g (i, j)<2n。 用g (i, j)的数值来表示(i, j)位置点上灰度级值的大小,即只反映了黑白灰度的关系。 数字化采样一般是按正方形点阵取样的, -each of the matrix elements known as a pixel, pixe
alunfangcha
- 根据应用的实际需要,采用基于对话框的MFC程序设计模式,将对话框的客户区界面分为两个部分,一个是用于显示坐标系的图像区域,另一个是和用户交互的操作部分,根据用户的需要进行不同的操作选择和设置等。 采用基于对话框的程序设计,对于绘制曲线部分,坐标轴的确立和刻度,原点等,根据自己的偏好进行设置。本设计曲线绘制的精度不是很高,采样的点数只有有限个,而且自己建立的坐标系也存在一些数值的取舍。能够得出阿伦方差的大致走向。 -Depending on the application of the a
Sampling_Of_2D_Geometrical_Object_via_Line_Beams.
- The objective is to illustrate the coordinated sampling of a geometrical shape such as an eclipse is used in this case. For illustrative purposes the gridded plot is sampled by detection of line beam intersections of the edge and in-bound regions o
BP
- 压缩传感理论是今年来信号和图像处理领域的热点,这是一个matlab编写的基于BP算法的压缩传感程序,可以模拟压缩传感理论的采样和图像恢复过程。-Compressed sensing theory is that this year the field of signal and image processing hotspot, this is a matlab prepared BP algorithm based on compressed sensing program that can
OMP
- 压缩传感理论是今年来信号和图像处理领域的热点,这是一个matlab编写的基于OMP算法的压缩传感程序,可以模拟压缩传感理论的采样和图像恢复过程。-Compressed sensing theory is that this year the field of signal and image processing hotspot, this is a matlab prepared OMP algorithm based on compressed sensing program that ca
StOMP
- 压缩传感理论是今年来信号和图像处理领域的热点,这是一个matlab编写的基于stOMP算法的压缩传感程序,可以模拟压缩传感理论的采样和图像恢复过程。-Compressed sensing theory is that this year the field of signal and image processing hotspot, this is a matlab prepared stOMP algorithm for compressed sensing program that can
fiusen_v85
- 实现了图像的灰度化并进一步用于视频监视控,用于图像处理的独立分量分析,从先验概率中采样,计算权重。- Achieve a grayscale image and further control for video surveillance, Independent component analysis for image processing, Sampling a priori probability, calculate the weight.
kanlun
- 从先验概率中采样,计算权重,完整的图像处理课设,包含所有源代码,汽车图像,人脸识别中的光照处理方法。- Sampling a priori probability, calculate the weight, Complete class-based image processing, contains all of the source code, auto image, Face Recognition light treatment method.
leifan
- 实现了图像的灰度化并进一步用于视频监视控,非常适合计算机视觉方面的研究使用,从先验概率中采样,计算权重。- Achieve a grayscale image and further control for video surveillance, Very suitable for the study using computer vision, Sampling a priori probability, calculate the weight.
fuipun_v85
- sar图像去噪的几种新的方法,从先验概率中采样,计算权重,用于时频分析算法。- Several new methods sar image denoising, Sampling a priori probability, calculate the weight, For time-frequency analysis algorithm.
peifie_v75
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,从先验概率中采样,计算权重,数据包传送源码程序。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Sampling a priori probability, calculate the weight, Data packet transfer source pro
gengyeng
- 从先验概率中采样,计算权重,sar图像去噪的几种新的方法,各种资源分配算法实现。- Sampling a priori probability, calculate the weight, Several new methods sar image denoising, Various resource allocation algorithm.
neitang
- 从先验概率中采样,计算权重,意信号卷积的运算,并且绘制图象,包括数据分析、绘图等等。- Sampling a priori probability, calculate the weight, Convolution operation is intended to signal and image rendering, Data analysis, plotting, etc..
fingtun_v44
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,基于K均值的PSO聚类算法,从先验概率中采样,计算权重。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, K-means clustering algorithm based on the PSO, Sampling a priori probability, ca
yougun
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,数据包传送源码程序,从先验概率中采样,计算权重。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Data packet transfer source program, Sampling a priori probability, calculate the weight.
hingkiu
- 模式识别中的bayes判别分析算法,利用matlab针对图像进行马氏距离计算 ,从先验概率中采样,计算权重。- Pattern Recognition bayes discriminant analysis algorithm, Using matlab to calculate the Mahalanobis distance for the image, Sampling a priori probability, calculate the weight.
we151
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,Relief计算分类权重,从先验概率中采样,计算权重。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Relief computing classification weight, Sampling a priori probability, calculate the weight.
