Image-Processing-Based-on-PDE

所属分类:图形图像处理
开发工具:matlab
文件大小:7241KB
下载次数:31
上传日期:2015-10-01 10:41:21
上 传 者2209353319
说明:  《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 description of the boo)

文件列表:
图像处理的偏微分方程方法\Binary Images\Africa.bmp (11902, 2007-12-14)
图像处理的偏微分方程方法\Binary Images\dyCurve.bmp (2222, 2003-11-07)
图像处理的偏微分方程方法\Binary Images\fish1.bmp (17586, 2007-12-06)
图像处理的偏微分方程方法\Binary Images\fish2.bmp (18934, 2007-12-06)
图像处理的偏微分方程方法\Binary Images\fish3.bmp (17586, 2007-12-06)
图像处理的偏微分方程方法\Binary Images\fish4.bmp (19270, 2007-12-06)
图像处理的偏微分方程方法\Binary Images\fish5.bmp (17926, 2007-12-06)
图像处理的偏微分方程方法\Binary Images\fish6.bmp (17898, 2007-12-06)
图像处理的偏微分方程方法\Binary Images\Thumbs.db (29696, 2007-12-17)
图像处理的偏微分方程方法\Binary Images\tooth.bmp (17462, 2003-11-06)
图像处理的偏微分方程方法\Color Images\Autumn.bmp (196662, 2003-11-08)
图像处理的偏微分方程方法\Color Images\balloon.bmp (45414, 2007-12-10)
图像处理的偏微分方程方法\Color Images\Bird.bmp (196662, 2003-11-08)
图像处理的偏微分方程方法\Color Images\Bridge.bmp (196662, 2003-11-08)
图像处理的偏微分方程方法\Color Images\Butterfly.bmp (196662, 2003-11-08)
图像处理的偏微分方程方法\Color Images\castle.bmp (65938, 2007-12-09)
图像处理的偏微分方程方法\Color Images\Eagle.bmp (196662, 2003-11-08)
图像处理的偏微分方程方法\Color Images\fighter.bmp (196662, 2003-11-06)
图像处理的偏微分方程方法\Color Images\lake.bmp (6294, 2007-12-09)
图像处理的偏微分方程方法\Color Images\nebula.bmp (436350, 2007-04-30)
图像处理的偏微分方程方法\Color Images\Panda.bmp (196662, 2003-11-08)
图像处理的偏微分方程方法\Color Images\pepper.bmp (196662, 2003-11-06)
图像处理的偏微分方程方法\Color Images\rose.bmp (69750, 2007-12-10)
图像处理的偏微分方程方法\Color Images\Thumbs.db (124928, 2007-12-12)
图像处理的偏微分方程方法\Color Images\toy.bmp (93654, 2007-12-10)
图像处理的偏微分方程方法\Color Images\TV_color_square.bmp (60402, 2007-11-04)
图像处理的偏微分方程方法\Color Images\water_lilies.bmp (9846, 2007-09-16)
图像处理的偏微分方程方法\Gray Images\3.bmp (120054, 2006-04-22)
图像处理的偏微分方程方法\Gray Images\brain.bmp (41214, 2007-12-03)
图像处理的偏微分方程方法\Gray Images\brain_v.bmp (77494, 2007-12-10)
图像处理的偏微分方程方法\Gray Images\Carving.bmp (66614, 2003-11-08)
图像处理的偏微分方程方法\Gray Images\chrom.bmp (17462, 2003-05-06)
图像处理的偏微分方程方法\Gray Images\computer2.bmp (161982, 2007-03-25)
图像处理的偏微分方程方法\Gray Images\cv1.bmp (69366, 2006-11-13)
图像处理的偏微分方程方法\Gray Images\cv2.bmp (49206, 2007-12-09)
图像处理的偏微分方程方法\Gray Images\gac1.bmp (76854, 2007-12-10)
图像处理的偏微分方程方法\Gray Images\I_C.bmp (17462, 2003-05-06)
图像处理的偏微分方程方法\Gray Images\lady.bmp (196662, 2007-10-04)
图像处理的偏微分方程方法\Gray Images\lenna.bmp (66614, 2003-05-06)
图像处理的偏微分方程方法\Gray Images\mars_moon.bmp (70710, 2007-08-05)
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