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ifs_code_matlab

于 2010-03-28 发布 文件大小:4KB
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下载积分: 1 下载次数: 2

代码说明:

说明:  实现了平移、缩放、旋转和错切等仿射变换的问题,并用MATLAB逼真模拟了蕨类叶、变形蕨类叶与拟仿射变换分形图。(Achieved a pan, zoom, rotate and cross cutting issues such as affine transformations, and use MATLAB to simulate real fern leaf, fern leaves and to be deformed affine fractal images.)

文件列表:

ifs蕨形叶实现.txt
IFS蕨形叶水平镜像.rar
IFS蕨形叶缩放变换.rar
ifs蕨形叶旋转变换.rar
IFS蕨形叶垂直镜像.rar
IFS蕨形叶错切变换.rar
IFS蕨形叶平移变换.rar

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  • get-snake
    运用GVF snake进行图像分割。效果好,可用于学习借鉴。(image segmentantion based on GVF snake.)
    2011-05-19 21:20:35下载
    积分:1
  • 小波分析用于
    说明:  16.1利用小波变换法将两幅图融合 16.2利用小波包法将两幅图融合 16.3利用小波变换进行图像分解 16.4重构系数 16.5小波变换提取一个子代直方图 16.6利用小波变换对给定图像旋转后,提取一个子代 16.7提取小波分解概貌系数(16.1 Fusion of Two Pictures Using Wavelet Transform 16.2 Using Wavelet Packets to Fusion Two Pictures 16.3 Image Decomposition Using Wavelet Transform 16.4 Reconstruction coefficients 16.5 Extracting a Child Histogram Using Wavelet Transform 16.6 Extracting a Child After Rotating a Given Image Using Wavelet Transform 16.7 Extracting Wavelet Decomposition Profile Coefficients)
    2020-01-05 18:48:06下载
    积分:1
  • Files
    数字图像处理,图像质量评价指标,matlab 计算图像峰值信噪比(Calculation of peak signal to noise ratio)
    2017-12-05 22:27:51下载
    积分:1
  • lixiaomao
    this code is for the paper of image segmentation based on level set methods. in this paper improves Tony Chan s paper and improves the speed.
    2012-04-28 17:18:16下载
    积分:1
  • 1
    说明:  运动模糊图像通过四种方法维纳滤波、约束最小二乘法、lucy、盲目卷积图像复原(Motion-blurred image through the four methods of Wiener filter, constrained least squares method, lucy, blind deconvolution image restoration)
    2009-05-06 13:23:04下载
    积分:1
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    6Improved discriminate analysis for high dimensional data and its application to face recognition. 2007-Zhuang-Dai.pdf
    2014-10-22 20:44:04下载
    积分:1
  • byxh
    本程序能够综合地实现图像边缘细化,而且程序够复杂。(This procedure can be integrated to achieve the Image Edge thinning, and the procedures complex enough.)
    2008-03-16 10:57:31下载
    积分:1
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    2020-03-25 13:38:44下载
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    说明:  本文以k-means算法为背景,引入信息熵相关知识,从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时,会发生一定的过拟合现象,导致我们得不到预期的聚类数目。本文设计合理的合并准则,令模型简化,有效地消除过拟合现象,使得最后得到的聚类数目与预期符合。,设计合理的准则改进了图像的全自动分割方法,使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)
    2019-04-24 09:40:45下载
    积分:1
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    GDI 绘图实例
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