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于 2019-05-18 发布 文件大小:371KB
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代码说明:

  实现图片、文本隐藏在图片中,并导出等操作(Implement images, text hidden in images, and export operations)

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    通过Matlab实现维纳滤波及逆滤波复原图像 不使用matlab自带函数 而是自编程序实现(Matlab to achieve through the Wiener filter and inverse filter to recover the image does not use function but rather bring their own self-matlab program)
    2009-06-17 01:57:53下载
    积分:1
  • otsu
    otsu算法应用于图像分割--图像分割-直方图(Otsu algorithm is applied to image segmentation image segmentation- Histogram)
    2008-06-02 23:27:06下载
    积分:1
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    利用matlab对已知多对控制点的情况下进行两张图像校正,该算法能够取得较好的结果(Using matlab to correct two images when multiple pairs of control points are known.The algorithm can get good results.)
    2020-12-30 21:59:00下载
    积分:1
  • 激光雷达数据处理
    激光雷达数据处理,点云及图像显示,为激光雷达数据处理提供参考依据。采用matlab软件 易于实现编程 (The leaf area index (LAI)was measured for each variety after the trials.All the obtained relationships were determined by measuring the weight and surface area of 50 samples collected from the bottom, middle and top parts of the vine.)
    2020-07-01 14:15:20下载
    积分:1
  • 倾斜矫正
    说明:  程序功能是把一副倾斜的文字图像矫正过来,通过边缘检测再进行霍夫变换完成(The program function is to correct a skewed text image.)
    2019-05-12 14:09:39下载
    积分:1
  • WatermarkingVedio1
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    2006-10-13 17:31:14下载
    积分:1
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    说明:  sift和surf特征点提取,然后进行配准,通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC)
    2021-04-16 15:18:53下载
    积分:1
  • Bilateral-filtering
    这是双边滤波去噪的原始代码,挺好,可以下载( de-noising by Bilateral filtering,it is very good!)
    2012-05-16 09:35:40下载
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    2019-02-28 12:26:18下载
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  • quyudaima
    本代码使用引导滤波器去除图像中的雨滴 在对雨雪天气图像进行清晰化处理之前,要对其中的动态成分进行自动辨识和去除。快速有效的自动辨识及去除方法是构建自适应多种低能见度条件视觉增强算法的前提条件(This code USES the guided filter to remove image in the rain Before the clarifications in rain and snow weather image processing, to the dynamic content of the automatic identification and removal.Quick and efficient automatic identification and removal method is to construct the adaptive multiple visual enhancement algorithm is the premise of low visibility conditions)
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