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secaizhuanyi
运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)
- 2013-09-15 16:40:26下载
- 积分：1
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prient
静态画图，可以改变图形边框颜色与矩形或椭圆的填充颜色(Static drawing, you can change the fill color graphics border color and rectangular or oval)
- 2012-11-22 17:26:00下载
- 积分：1
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xinpcnn
利用PCNN，可得到二值图像的轮廓，轮廓的宽度可调节(The use of PCNN, available binary image contours, contour width adjustable)
- 2008-04-17 17:09:47下载
- 积分：1
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EMSegementation
EM算法是最为经典的统计图像分割方法，代码基于matlab，使用EM算法实现图像分割,源代码加实例图像，非常好用(By using EM algrithm to realize the segementation of image)
- 2021-04-27 13:08:45下载
- 积分：1
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lans-patrec
从一个模式识别toolbox中摘取的计算zernike不变矩的源代码，结果为图像的n阶m重zernike不变矩(From a pattern recognition toolbox extracted Zernike moment invariants calculation of the source code, the results of image re-n-order m Zernike moment invariants)
- 2008-01-18 11:16:51下载
- 积分：1
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针对各类分数阶混沌系统进行同步
针对各类分数阶混沌系统进行同步，数值仿真结果证明系统的稳定性(Numerical simulations show that the system is stable for all kinds of fractional order chaotic systems.)
- 2018-08-24 15:43:21下载
- 积分：1
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Aaform
图像变换,处理图片的变换及反走样处理，包含ＶＢ和ＶＣ的源文件(Image transformation, to deal with the change of image and anti-aliasing processing, VB and VC contains source files)
- 2007-12-19 13:48:33下载
- 积分：1
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11111
两张图片相减
散斑干涉图像获取
Two image subtraction
Two image subtraction(Two image subtraction
Two image subtraction
Two image subtraction)
- 2016-05-26 11:36:08下载
- 积分：1
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ROAPROEWA-algorithm
最为经典的ROA和ROEWA算子，用于SAR图像边缘检测，并附有一定的实例图像，以说明实验结果。(ROA and ROEWA algorithms are given in order to detect the edge of images, and some images are attached illustrating the experimental results.)
- 2021-03-21 20:39:17下载
- 积分：1
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liver_ultr
Abstract—Noninvasive ultrasound imaging of carotid plaques
allows for the development of plaque-image analysis methods associated
with the risk of stroke. This paper presents several plaqueimage
analysis methods that have been developed over the past
years. The paper begins with a review of clinical methods for visual
classification that have led to standardized methods for image
acquisition, describes methods for image segmentation and denoizing,
and provides an overview of the several texture-feature
extraction and classification methods that have been applied. We
provide a summary of emerging trends in 3-D imaging methods
and plaque-motion analysis. Finally, we provide a discussion of the
emerging trends and future directions in our concluding remarks.
- 2013-10-28 12:36:04下载
- 积分：1
