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imagejiansuo

于 2010-05-28 发布 文件大小:309KB
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下载积分: 1 下载次数: 2

代码说明:

  图像处理的简单程序,适合初学者,自己好好看看(Simple image processing procedures, suitable for beginners, its a good look)

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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
  • strongpicture
    说明:  模式识别与图像处理,图像的边缘处理,增强(Pattern recognition and image processing, image edge processing, to enhance)
    2008-11-23 15:33:39下载
    积分:1
  • DIC
    通过数字图像相关的方法计算两幅图像之间的位移,计算时间较长,是最基础的DIC,没有优化。(Digital image correlation method to calculate the displacement between the two images, the time is longer, is the most basic DIC, no optimization.)
    2021-03-31 10:59:09下载
    积分:1
  • chaffresearchechnology
    箔条干扰的特性与雷达抗箔条技术研究,对雷达制导导引头的干扰技术进行系统研究(Characteristics of the anti-radar chaff and chaff research technology, the interference radar guidance seeker system research)
    2015-07-14 01:08:07下载
    积分:1
  • DXFRead-master
    读取dxf文件,并利用opencv画出2D形状(Read the DXF file, and draw a 2D shape using OpenCV)
    2017-09-26 15:48:30下载
    积分:1
  • Picture
    图片处理 去噪音,去模糊为了实现较好保留图像边缘特征的有效去噪,提出了一种基于边缘检测的Contourlet 变换去噪方法(Picture Deal)
    2013-05-28 16:20:28下载
    积分:1
  • lbgvq
    lbg算法是一种经典的矢量量化算法,此源码为lbg算法的c语言实现。(lbg algorithm is a classic vector quantization algorithm, the algorithm lbg source for the C Language.)
    2021-01-06 21:28:54下载
    积分:1
  • speech-emotion-recognition
    过特定人语音情感数据库的建立;语音情感特征提取;语音情感分类器的设计,完成了一个特定人语音情感识别的初步系统。对于单个特定人,可以识别平静、悲伤、愤怒、惊讶、高兴5种情感,除愤怒和高兴之间混淆程度相对较大之外,各类之间区分特性良好,平均分类正确率为93.7 。对于三个特定人组成的特定人群,可以识别平静、愤怒、悲伤3种情感,各类之间区分特性良好,平均分类正确率为94.4 。其中分类器采用混合高斯分布模型。(The system of speech emotion recognition)
    2014-04-21 20:08:42下载
    积分:1
  • smooth
    对图像进行平滑去噪,提高图像的质量,为后期的图像处理打基础(very good)
    2013-09-24 10:01:40下载
    积分:1
  • m11
    混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)
    2014-04-15 11:11:55下载
    积分:1
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