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Description: This colour picker allows you to easily choose a colour either using RGB or HSV, it includes an alpha slider (that can be disabled or hidden, if needed), and it displays the colour value in hexadecimal. The code is fully written using Windows API, without MFC.
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Size: 735609 |
Author: gp |
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Description: How to define the colour ranges for an automatic detection of coloured objects
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Size: 3010560 |
Author: 小王 |
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Description: This colour picker allows you to easily choose a colour either using RGB or HSV, it includes an alpha slider (that can be disabled or hidden, if needed), and it displays the colour value in hexadecimal. The code is fully written using Windows API, without MFC.
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Size: 735232 |
Author: gp |
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Description: 将彩色图象转换为黑白图象的方法.对于图象处理的人应该有用.处理速度比较快-converting color images to black-and-white image of the method. For image processing people should be useful. Faster processing speed
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Size: 3072 |
Author: ww |
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Description: Colour-Imager Characterization by parametric fitting of sensor responses.pdf
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Size: 111616 |
Author: 张夏宜 |
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Description: Colour Segmentation - VIBGYOR Colour Segmentation.This function can be used for VIBGYOR Colour segmentation from the RGB Color images.Posted date : 14 - 07 - 2008
Developed By : K.Kannan & Jeny Rajan-Colour Segmentation- VIBGYOR Colour Segmentation.This function can be used for VIBGYOR Colour segmentation from the RGB Color images.Posted date : 14- 07- 2008
Developed By : K.Kannan & Jeny Rajan
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Size: 248832 |
Author: 焦亚民 |
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Description: 在从阴极射线管显示技术发明至今的100多年中，新型的显示技术不断出现并得到发展。其中，液晶显示技术得到飞速的发展，液晶显示器件已经逐步形成显示器件中的主流产品。本文根据项目投资决策的原理，通过走访液晶显示器件产业中部分的生产厂家，参与技术研讨会，收集和引用了大量的资料数据，对全球液晶显示技术的水平、产业链的构成、产业的分布、液晶显示器件的应用市场、资源和发展环境进行了调查分析。结合全球液晶显示器件产业的发展状况及我国液晶显示器件产业链发展的巨大潜力和广阔前景，对拟定投资液晶显示面板用彩色滤光片生产线的建设项目，运用定性与定量相结合的方法对项目投资的机会进行经济评价、论证，给出分析评价结果和建议，供项目投资决策者参考。-The original testing instruments can not satisfy new product s requirement because new LCD is big size,colour,multi-testing-parameter and lattice array. The testing instrument of new generation must be developed because the old testing equipment can only test either electronic or optic parameter, and its speed is slow and precision is rough,even some paraments can be not tested. The rapid development of the semiconductor technology is providing hardware condition for LCD testing syst...
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Size: 2048 |
Author: 周德天 |
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Description: read data function for project colour base image retrieval
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Size: 1024 |
Author: mike |
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Description: AVR Siemens colour display driver, UART 2 LCD
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Size: 110592 |
Author: Igor |
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Description: A short function to colour plots with all the colours of the rainbow. Gives better output than trying to select good colours in advance.
figure hold on x = 1:10
plot(x,x)
plot(x,-x)
colourplot -A short function to colour plots with all the colours of the rainbow. Gives better output than trying to select good colours in advance.
figure hold on x = 1:10
plot(x,x)
plot(x,-x)
colourplot
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Size: 3072 |
Author: xiaoni |
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Description: 设置函数曲线图颜色的用户界面，调整和设置图像色彩。-Function curve of the color settings of the user interface, image adjustments and color settings.
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Size: 1024 |
Author: zhugespike |
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Description: Computational Colour Science Using MATLAB
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Size: 1675264 |
Author: thon |
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Description: flower image uploaded white colour
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Size: 3072 |
Author: sharmabwn |
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Description: Towards a psychophysical evaluation of colour constancy algorithms
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Size: 300032 |
Author: Su Jong |
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Description: This function displays an image, automatically setting the colour map to grey if it is a 2D image, or leaving it as colour otherwise, and setting the axes to be equal . The image is also displayed as TrueSize , that is, pixels on the screen match pixels in the image. Finally a title corresponding to the image variable name is added.-This function displays an image, automatically setting the colour map to grey if it is a 2D image, or leaving it as colour otherwise, and setting the axes to be equal . The image is also displayed as TrueSize , that is, pixels on the screen match pixels in the image. Finally a title corresponding to the image variable name is added.
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Size: 2048 |
Author: majid |
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Description: Motion Tracking
=== === ===
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.-Motion Tracking
===============
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.
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Size: 36511744 |
Author: gobsy |
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Description: Normalises image values to 0-1, or to desired mean and variance
Usage:
n = normalise(im)
Offsets and rescales image so that the minimum value is 0
and the maximum value is 1. Result is returned in n. If the image is
colour the image is converted to HSV and the value/intensity component
is normalised to 0-1 before being converted back to RGB.
-Normalises image values to 0-1, or to desired mean and variance
Usage:
n = normalise(im)
Offsets and rescales image so that the minimum value is 0
and the maximum value is 1. Result is returned in n. If the image is
colour the image is converted to HSV and the value/intensity component
is normalised to 0-1 before being converted back to RGB.
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Size: 1024 |
Author: mahmood |
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Description: This paper describes basics of Image Enhancement using histogram based techniques.Image Enhancement is largely used as pre processing unit in various vision based systems. Histograms based techniques tends to improve in colour quality, intensity features and brightness redistribution.
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Size: 480256 |
Author: kalia |
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Description: 用matlab做彩色图像的二维直方图，比如rb、rg、bg等-use matlab to draw colour image histogram of two dimension
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Size: 1024 |
Author: 王业 |
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Description: While the RGB, HSV and YUV (YCbCr) are standard models used in various colour imaging applications, not all of their information are necessary to classify skin colour.
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Size: 578560 |
Author: Shooty |
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