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Description: 本人用VC编写的由水系图求水系密度程序源码，对GIS开发的朋友可能有些帮助，目前只支持灰度分析，彩色分析正在编写中。-I VC prepared by the water stream density map for procedures source, on the development of the GIS may help to a friend, only to support the gray analysis, color analysis being prepared.
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Size: 1990304 |
Author: 冀翼 |
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Description: The Volume Fog sample shows the per-pixel density volumetric rendering
technique. The fog volume is modeled as a polygonal mesh, and the
density of the fog at every pixel is computed by subtracting the front
side of the fog volume from the back side. The fog is mixed with the
scene by accumulating an in/out test at every pixel -- that is, back-facing
fog polygons will add, while front-facing ones will subtract. If the value
is non zero, then the scene intersects the fog and the scene s depth value
is used. In order to get better results, this demo uses 12 bits of precision
by encoding high and low bits in different color channels.
Platform: |
Size: 28923 |
Author: 姚俊光 |
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Description: 本人用VC编写的由水系图求水系密度程序源码，对GIS开发的朋友可能有些帮助，目前只支持灰度分析，彩色分析正在编写中。-I VC prepared by the water stream density map for procedures source, on the development of the GIS may help to a friend, only to support the gray analysis, color analysis being prepared.
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Size: 8502272 |
Author: |
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Description: A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate-A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c
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Size: 17408 |
Author: gggg |
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Description: The Volume Fog sample shows the per-pixel density volumetric rendering
technique. The fog volume is modeled as a polygonal mesh, and the
density of the fog at every pixel is computed by subtracting the front
side of the fog volume from the back side. The fog is mixed with the
scene by accumulating an in/out test at every pixel -- that is, back-facing
fog polygons will add, while front-facing ones will subtract. If the value
is non zero, then the scene intersects the fog and the scene s depth value
is used. In order to get better results, this demo uses 12 bits of precision
by encoding high and low bits in different color channels. -The Volume Fog sample shows the per-pixel density volumetric rendering technique. The fog volume is modeled as a polygonal mesh, and the density of the fog at every pixel is computed by subtracting the front side of the fog volume from the back side. The fog is mixed with the scene by accumulating an in/out test at every pixel that is, back-facing fog polygons will add, while front-facing ones will subtract. If the value is non zero, then the scene intersects the fog and the scene s depth value is used. In order to get better results, this demo uses 12 bits of precision by encoding high and low bits in different color channels.
Platform: |
Size: 28672 |
Author: Phoebuson Ryao |
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Description: 密度分割法
密度分割或密度分层是伪彩色增强中最简单的一种方法-Density segmentation density partition or pseudo-color density stratification is enhanced in a way the most simple
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Size: 1024 |
Author: zhang san |
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Description: 一种实时火焰效果生成c++算法,1.演示程序运行需要directX支持。
2.替换种子位图可以改变火焰形状。
3.替换冷却位图可以改变冷却的局部模式
4.替换亮度等级位图可以改变火焰颜色
5.修改generateSeed()函数中的参数可以控制火种密度，修改scrollUp()函数中的参数可以控制火焰向上-Flame to generate a real-time effects c++ Algorithm, 1. Demo directX support needed for the operation. 2. Replace bitmap seed can change the shape of the flame. 3. Replace cooling can change the cooling bitmap Local Mode 4. Replace bitmap brightness rating can change the color of flame 5. Modification generateSeed () function parameters can be controlled fire density, modify scrollUp () function parameters can be controlled flame up
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Size: 363520 |
Author: 胡俊 |
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Description: C語言實做字彙測驗
猜對會加分，機會會隨猜對次數增加
其中也有密計，但使用密計並無法加分
應用到Windows的ASCII繪圖功能
畫出顏色不同的文字介面-C language is to do vocabulary tests will guess on points with the opportunity to guess on the increase in the number of which also had a secret, but it does not include the use of density bonus points applied to the Windows of the ASCII graphics painted a different color text interface
Platform: |
Size: 167936 |
Author: 余正皓 |
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Description: 中值滤波 prewitt算法 直方图均衡化 密度分割法图像伪彩色处理 分段线性处理处理灰度变换-Median filter Prewitt density histogram equalization algorithm segmentation image pseudo-color handle handle handle piecewise linear gray-scale transformation
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Size: 2033664 |
Author: amy |
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Description: 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区
YC C
r b
域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度
)
(
信息定位眼睛, 然后根据人脸特征的几
形态边缘检测算子检测候选区域的边缘, 利用 边缘方向
PCA PCAED
( )
何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确
的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分
割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征
PCAED
具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低
等特点。-
A novel approach for skin segmentation and facial feature extraction is proposed
The proposed skin segmentation is a method for integrating the chrominance components of
″″ . ″″
r b r b
nonlinear YC C color model The chrominance components of nonlinear YC C color space
,
are modeled using a subgaussian probability density function and then the face skin is seg
. ,
mented based on this function In order to authenticate the face candidate regions firstly tex
ture information in face candidate regions is segmented using mean and variance of luminance
, . ,
information and then the eye is located by the PCA edge direction information Finally the
, ,
others features such as nose and mouth also are detected using the geometrical shape infor
. 2 ,
mation As all the above mentioned techniques are simple and efficient the skin segmentation
.
based on nonlinear color spacemethod has the invariability of lighting and pose In the experi
, .
ments themethod has been successfull
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Size: 458752 |
Author: zz |
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Description: 为OpenGL三维场景添加雾化效果，通过设置雾气的模式，颜色，密度，进行计算-For the OpenGL 3D scene to add atomization effect, by setting mist pattern, color, density, calculated
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Size: 358400 |
Author: 刘朋 |
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Description: 先讀入膚色，非膚色的圖片，在將各張圖片由RGB轉成YCbCr。讀進來的時候，我是用四維的陣列去存膚色的圖片以及非膚色的圖片。第一個維度是用來存放有幾張圖片，接下來是解析度，還有幾個channel。讀進來之後再分別對膚色，非膚色的Cb，Cr來作統計。分別會得到Cb，Cr的mean和variance。再依次分別帶入Multivariate Normal Density的公式去求得膚色，非膚色出現的機率。最後再將得到的兩個機率值相除，得到的值，拿來和threshold值相比，藉此來判斷Input的圖的pixel是否為膚色。-To read into the color, non-color pictures, all pictures in the RGB conversion from YCbCr. Reading came when I was using four-dimensional array to save color images and non-color pictures. The first dimension is used to store a few pictures, followed by the resolution, there are several channel. Respectively after reading came in color, non-color of the Cb, Cr to make the statistical. Respectively, will be Cb, Cr of the mean and variance. Then in turn were brought into the Multivariate Normal Density formula to obtain color, the probability of non-skin color appears. Finally got two chances and then divided the value obtained values, brought, and compared with threshold values, thereby to determine the Input of the map whether the color pixel.
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Size: 1024 |
Author: Howard |
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Description: 直方圖等化(Histogram Equalization)為一種使用統計方法的影像處理程式設計,它的功能為將統計直方圖的色彩分布平均的打散在直方圖裡,也就是說,讓一張圖的直方圖分布均勻化,同樣的也是使用到LUT(Look-up Table)的方法
而在設計直方圖等化不可或缺的就是需要先知道統計學的機率密度函數(Probability Density Function,PDF)以及累積分配函數(Cumlative Distribution Function,CDF)相關的基本概念,在這邊會簡單的說明機率密度函數及累積分配函數的概念還有直方圖等化的程式設計實作,而OpenCV也提供了直接使用直方圖等化的函式,cvEqualizeHist(),下面就簡單的製作直方圖等化的程式設計
-Histogram equalization (Histogram Equalization) for a use of statistical methods of image processing programming, its function as a statistical histogram of color distribution of the average scatter in the histogram, the words, let the distribution of a histogram graph homogenization, the same also use the LUT (Look-up Table) method
In the design of histogram equalization is an essential need to know the statistical probability density function (Probability Density Function, PDF) and cumulative distribution function (Cumlative Distribution Function, CDF) related to the basic concepts, in the side would be a simple shows probability density function and cumulative distribution function, the concept of histogram equalization programs are designed to implement, while OpenCV also provides direct access to the histogram equalization function, cvEqualizeHist (), Here s the simple production of histogram equalization programming
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Size: 1024 |
Author: nip |
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Description: Consists of the time control systems and decision support. Time control system used in conventional traffic system, traffic system that is generally where the traffic lights are set to change color according to the specified time. While the fuzzy traffic systems used in decision support systems which change color depending on the level of traffic density
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Size: 23552 |
Author: telo |
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Description: This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections
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Size: 167936 |
Author: Shooty |
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Description: 伪彩色增强，通过密度分割法将灰度图像转换为彩色图像-Pseudo-color enhancement, through the density of gray image segmentation method to convert color images
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Size: 14336 |
Author: lengxiangguang |
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Description: 一篇引用率非常高的英文文献，基于快速高斯的KDE目标跟踪-Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
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Size: 100352 |
Author: 元十三限 |
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Description: 这篇文章是比较实用的关于车牌定位的，是一种基于彩色跳变点和颜色密度来定位车牌的方法，效果较好-This article is practical on the license plate positioning, is a kind of method of color changing and color density based on the location of the license plate, better
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Size: 5120 |
Author: wang nan |
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Description: 利用eyeone扫描印刷在纸张上的颜色块（这些色块需在一个控制条上），把数据存放在excel文件中，手动导入文件，可以快速得到某种油墨印刷在某种纸张上的最佳密度值。-using eyeone to get the spectral data of the color lump, it can get the best filed density.
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Size: 5120 |
Author: 阴金全 |
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Description: 白噪声与色噪声的仿真样例，画出其自相关与功率谱密度函数。-Simulation example white noise and color noise, draw their autocorrelation and power spectral density function.
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Size: 74752 |
Author: lijianfeng |
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