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MATLAB数字图像特效处理系统[GUI，论文]

于 2020-08-07 发布
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说明：  本设计是基于MATLAB GUI界面的特效处理系统。配一篇配套论文。探讨了包括色彩调整、代数运算、几何运算、滤镜效果、艺术效果、扭曲效果和风格化七个模块的处理。色彩平衡可以按照特定要求改变图像中每个像素的亮度值；代数运算可以对两幅图象进行代数运算；几何运算可以对图象进行简单的形状处理；滤镜效果是针对相临像素间的关系来处理每个像素，达到一种特殊的效果。艺术效果是可以将图象加工成精美的“艺术品” ；扭曲效果可以对图像进行变形处理；风格化属于破坏性滤镜，通过置换像素生成绘画或印象派的效果。(This design is a special effect processing system based on Matlab GUI interface. With a supporting paper. The processing of seven modules including color adjustment, algebraic operation, geometric operation, filter effect, artistic effect, distortion effect and stylization are discussed. Color balance can change the brightness value of each pixel in the image according to specific requirements; algebraic operation can carry out algebraic operation on two images; geometric operation can carry out simple shape processing on the image; filter effect is to deal with each pixel according to the relationship between adjacent pixels to achieve a special effect. The artistic effect is that the image can be processed into exquisite "artworks"; the distortion effect can deform the image; stylization belongs to destructive filter, which can generate painting or Impressionist effect by replacing pixels.)

文件列表：

MATLAB数字图像特效处理系统（GUI，论文）, 0 , 2020-07-31
MATLAB数字图像特效处理系统（GUI，论文）\magic, 0 , 2020-07-31
MATLAB数字图像特效处理系统（GUI，论文）\magic\Thumbs.db, 9216 , 2007-05-21
MATLAB数字图像特效处理系统（GUI，论文）\magic\art, 0 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\paper, 0 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\paper\art_paper_cut_dlg.fig, 1978 , 2007-04-12
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\paper\art_paper_cut_dlg.m, 6225 , 2007-04-12
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\paper\art_paper_cut_process.m, 374 , 2007-04-12
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\pencil, 0 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\pencil\pencil_dlg.fig, 2042 , 2007-05-15
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\pencil\pencil_dlg.m, 6160 , 2007-05-15
MATLAB数字图像特效处理系统（GUI，论文）\magic\art\pencil\pencil_process.m, 623 , 2007-05-15
MATLAB数字图像特效处理系统（GUI，论文）\magic\bigger, 0 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\bigger\bigger_process.m, 457 , 2007-05-17
MATLAB数字图像特效处理系统（GUI，论文）\magic\lut_256.m, 163 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\magic.fig, 12392 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\magic.m, 47749 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\myIm2double.m, 361 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\show_origin_image.m, 612 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\smaller, 0 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\smaller\small_process.m, 113 , 2007-05-17
MATLAB数字图像特效处理系统（GUI，论文）\magic\打开方式.txt, 572 , 2020-07-31
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像, 0 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\Thumbs.db, 75264 , 2007-05-28
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\add1.jpg, 6985 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\add2.jpg, 7989 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\channel.jpg, 25409 , 2007-04-17
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\default.jpg, 27666 , 2007-04-18
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\differ1.jpg, 12233 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\differ2.jpg, 11818 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\mutiply1.jpg, 5232 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\mutiply2.jpg, 6035 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\red_eye.jpg, 5464 , 2007-05-17
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\sub1.jpg, 6506 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\sub2.jpg, 9169 , 2007-05-14
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\test_24.bmp, 217782 , 2000-04-21
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\tttt.bmp, 589878 , 2007-05-15
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\头.BMP, 652882 , 2007-05-16
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\头头.jpg, 21374 , 2007-05-21
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\汉字.jpg, 31748 , 2002-04-02
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\汽车.JPG, 142154 , 2002-04-02
MATLAB数字图像特效处理系统（GUI，论文）\magic\测试图像\蚂蚱.JPG, 139756 , 2002-04-02
MATLAB数字图像特效处理系统（GUI，论文）\任务书.doc, 27648 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\功能菜单.png, 112247 , 2020-02-02
MATLAB数字图像特效处理系统（GUI，论文）\博文.doc, 704000 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\开题报告.doc, 35840 , 2020-07-30
MATLAB数字图像特效处理系统（GUI，论文）\运行图1.png, 573260 , 2020-02-02

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  • watermark_paper
    首先将二值水印图像经过降维操作转化为一维序列,再将一维序列与m 序列做扩频 调制,最后对音频信号进行分段离散余弦变换,把经过调制的水印信号经过量化处理过程嵌入到离 散余弦变换后的系数中 提取水印时对含水印信号的音频信号也进行分段离散余弦变换,然后利用 原始音频信号提取水印. 实验证明了该技术的鲁棒性和不可感知性.
    2020-12-06 20:19:22下载
    积分：1
  • threshold
    采用最小交叉熵，最大熵，OTSU阈值分割(Using minimum cross entropy, maximum entropy, OTSU thresholding)
    2011-07-01 15:21:27下载
    积分：1
  • OCR
    C#的图像处理，用于验证码的识别功能，可以识别简单的有背景干扰的验证码(C# image processing, is used to identify functional verification code, you can recognize simple background interference verification code)
    2013-12-23 15:50:22下载
    积分：1
  • Video
    中国科学院长春光学精密机械与物理研究所 基于外极线约束条件的视频判读方法(Changchun Institute of Optics, Fine Mechanics and Physics epipolar constraint based on the video interpretation method)
    2010-12-08 12:25:49下载
    积分：1
  • super-resolutioncode
    该代码是基于学习的超分辨率重建，此算法是在线字典学习，字典的训练与稀疏表示与重建同时进行。(This code is based on the study of super-resolution reconstruction, this algorithm is learning online dictionaries, dictionaries of training and sparse representation and reconstruction simultaneously.)
    2016-03-10 09:06:50下载
    积分：1
  • cours_formes
    traitement d images contours et formes
    2012-02-12 04:39:25下载
    积分：1
  • EM
    说明：  该算法利用概率论中最大似然估计实现EM算法，通过对理论图像和统计图像的比较得出结果。(The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.)
    2013-04-24 15:26:42下载
    积分：1
  • nmfsc
    基于梯度下降的稀疏约束 NMF 算法(NMFsc)，之前pudn上也有类似的，但缺少一个程序，这里面都包括了 (Based on gradient descent sparse constraint NMF algorithm (NMFsc), before the pudn has a similar, but the lack of a program, there are included)
    2020-11-01 20:49:54下载
    积分：1
  • sift-introduction
    SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少.(SIFT feature matching algorithm is at home and abroad feature points matching hot area of ​ ​ research and difficulties in its matching capability that can handle between the two images, translation, rotation, the matching problem in the case of affine transformation, and even to some extent have a relatively stable feature of the ability to match images taken on any angle. The algorithm is more foreign materials, but the Chinese introduction less.)
    2012-07-02 17:21:06下载
    积分：1
  • MotionDetection
    说明：  静止背景下运动目标检测，采用帧间差分的方法进行运动目标识别(Static background motion detection, frame difference methods using Moving Object Recognition)
    2010-04-12 15:22:15下载
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