文件名称:Image-Processing-Based-on-PDE
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-10-01
- 文件大小：
- 7.07mb
- 下载次数：
- 2次
- 提 供 者：
- mar****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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《图像处理的偏微分方程方法》随书光盘完整版
本光碟中包含五个文件夹。
（1）视频剪辑：可供教学演示，其中， two_cells 是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程； denoissing 是利用P_M方程，对图像平滑去噪的演化过程 curve_linear_heat_flow 是利用FT实现的闭合曲线的线性热流演化过程。
（2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。
（3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。
（4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。
本光碟中的所有内容，仅供教学和研究参考。-" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a descr iption of the boo
本光碟中包含五个文件夹。
（1）视频剪辑：可供教学演示，其中， two_cells 是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程； denoissing 是利用P_M方程，对图像平滑去噪的演化过程 curve_linear_heat_flow 是利用FT实现的闭合曲线的线性热流演化过程。
（2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。
（3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。
（4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。
本光碟中的所有内容，仅供教学和研究参考。-" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a descr iption of the boo
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下载文件列表
图像处理的偏微分方程方法\Binary Images\Africa.bmp
........................\.............\dyCurve.bmp
........................\.............\fish1.bmp
........................\.............\fish2.bmp
........................\.............\fish3.bmp
........................\.............\fish4.bmp
........................\.............\fish5.bmp
........................\.............\fish6.bmp
........................\.............\Thumbs.db
........................\.............\tooth.bmp
........................\Color Images\Autumn.bmp
........................\............\balloon.bmp
........................\............\Bird.bmp
........................\............\Bridge.bmp
........................\............\Butterfly.bmp
........................\............\castle.bmp
........................\............\Eagle.bmp
........................\............\fighter.bmp
........................\............\lake.bmp
........................\............\nebula.bmp
........................\............\Panda.bmp
........................\............\pepper.bmp
........................\............\rose.bmp
........................\............\Thumbs.db
........................\............\toy.bmp
........................\............\TV_color_square.bmp
........................\............\water_lilies.bmp
........................\Gray Images\3.bmp
........................\...........\brain.bmp
........................\...........\brain_v.bmp
........................\...........\Carving.bmp
........................\...........\chrom.bmp
........................\...........\computer2.bmp
........................\...........\cv1.bmp
........................\...........\cv2.bmp
........................\...........\gac1.bmp
........................\...........\I_C.bmp
........................\...........\lady.bmp
........................\...........\lenna.bmp
........................\...........\mars_moon.bmp
........................\...........\Mis.bmp
........................\...........\M_M.bmp
........................\...........\office.bmp
........................\...........\room.bmp
........................\...........\RSImg.gif
........................\...........\Sir.bmp
........................\...........\S_L.bmp
........................\...........\Thumbs.db
........................\...........\Two_Squares.bmp
........................\...........\嫦娥一号2007.bmp
........................\MATLAB_Program\AMLE_level_set_interp.m
........................\..............\bilinear_interpolat2.m
........................\..............\biquad_interpolat.m
........................\..............\Color_dirct_Diff.m
........................\..............\createimage.m
........................\..............\curve_linear_heat_flow.m
........................\..............\C_V.m
........................\..............\GAC_upwind.m
........................\..............\gauss.m
........................\..............\Mag_Color_Snake.m
........................\..............\MCM_explicit.m
........................\..............\Multilayer_Contrast_Enhance.m
........................\..............\P_L_HE_f.m
........................\..............\P_M_AOS.m
........................\..............\Thomas.m
........................\..............\TV_resto.m
........................\Read_me.txt
........................\video clips\denoising.avi
........................\...........\linear_heat_flow.avi
........................\...........\Thumbs.db
........................\...........\twocells.avi
........................\Binary Images
........................\Color Images
........................\Gray Images
........................\MATLAB_Program
........................\video clips
图像处理的偏微分方程方法