登录
首页 » Python » scikit-image-master

scikit-image-master

于 2015-04-18 发布 文件大小:14975KB
0 93
下载积分: 1 下载次数: 14

代码说明:

  scikit-image: Image processing in Python:Python编写的图像处理程序,可直接调用,是学习python图像处理的很好参考。(scikit-image: Image processing in Python:Image processing program written in Python, can be called directly, is to learn Python a good reference to the image processing.)

文件列表:

scikit-image-master
...................\.coveragerc,213,2015-04-14
...................\.gitignore,400,2015-04-14
...................\.gitmodules,108,2015-04-14
...................\.travis.yml,828,2015-04-14
...................\appveyor.yml,2144,2015-04-14
...................\bento.info,5928,2015-04-14
...................\check_bento_build.py,3238,2015-04-14
...................\CONTRIBUTING.txt,7585,2015-04-14
...................\CONTRIBUTORS.txt,5324,2015-04-14
...................\DEPENDS.txt,2255,2015-04-14
...................\doc
...................\...\.gitignore,36,2015-04-14
...................\...\examples
...................\...\........\applications
...................\...\........\............\plot_coins_segmentation.py,4724,2015-04-14
...................\...\........\............\plot_geometric.py,3253,2015-04-14
...................\...\........\............\plot_morphology.py,8229,2015-04-14
...................\...\........\............\plot_rank_filters.py,18009,2015-04-14
...................\...\........\............\README.txt,70,2015-04-14
...................\...\........\plot_adapt_rgb.py,3300,2015-04-14
...................\...\........\plot_blob.py,2796,2015-04-14
...................\...\........\plot_brief.py,1879,2015-04-14
...................\...\........\plot_camera_numpy.py,802,2015-04-14
...................\...\........\plot_canny.py,1634,2015-04-14
...................\...\........\plot_censure.py,1079,2015-04-14
...................\...\........\plot_circular_elliptical_hough_transform.py,4781,2015-04-14
...................\...\........\plot_contours.py,1247,2015-04-14
...................\...\........\plot_convex_hull.py,1400,2015-04-14
...................\...\........\plot_corner.py,1160,2015-04-14
...................\...\........\plot_daisy.py,876,2015-04-14
...................\...\........\plot_denoise.py,2078,2015-04-14
...................\...\........\plot_edge_filter.py,2258,2015-04-14
...................\...\........\plot_entropy.py,653,2015-04-14
...................\...\........\plot_equalize.py,2786,2015-04-14
...................\...\........\plot_gabor.py,4461,2015-04-14
...................\...\........\plot_gabors_from_astronaut.py,3424,2015-04-14
...................\...\........\plot_glcm.py,3319,2015-04-14
...................\...\........\plot_hog.py,4358,2015-04-14
...................\...\........\plot_holes_and_peaks.py,2623,2015-04-14
...................\...\........\plot_ihc_color_separation.py,1925,2015-04-14
...................\...\........\plot_join_segmentations.py,1965,2015-04-14
...................\...\........\plot_label.py,1557,2015-04-14
...................\...\........\plot_line_hough_transform.py,4465,2015-04-14
...................\...\........\plot_local_binary_pattern.py,6774,2015-04-14
...................\...\........\plot_local_equalize.py,2384,2015-04-14
...................\...\........\plot_local_otsu.py,1575,2015-04-14
...................\...\........\plot_marching_cubes.py,2051,2015-04-14
...................\...\........\plot_marked_watershed.py,1549,2015-04-14
...................\...\........\plot_matching.py,5104,2015-04-14
...................\...\........\plot_medial_transform.py,2273,2015-04-14
...................\...\........\plot_ncut.py,848,2015-04-14
...................\...\........\plot_nonlocal_means.py,1317,2015-04-14
...................\...\........\plot_orb.py,1807,2015-04-14
...................\...\........\plot_otsu.py,1017,2015-04-14
...................\...\........\plot_peak_local_max.py,1442,2015-04-14
...................\...\........\plot_phase_unwrap.py,4080,2015-04-14
...................\...\........\plot_piecewise_affine.py,1111,2015-04-14
...................\...\........\plot_polygon.py,2597,2015-04-14
...................\...\........\plot_pyramid.py,887,2015-04-14
...................\...\........\plot_radon_transform.py,8432,2015-04-14
...................\...\........\plot_rag.py,2139,2015-04-14
...................\...\........\plot_rag_draw.py,1204,2015-04-14
...................\...\........\plot_rag_mean_color.py,740,2015-04-14
...................\...\........\plot_rag_merge.py,2238,2015-04-14
...................\...\........\plot_random_walker_segmentation.py,2461,2015-04-14
...................\...\........\plot_rank_mean.py,1499,2015-04-14
...................\...\........\plot_ransac.py,1589,2015-04-14
...................\...\........\plot_regional_maxima.py,3316,2015-04-14
...................\...\........\plot_regionprops.py,1296,2015-04-14
...................\...\........\plot_register_translation.py,2471,2015-04-14
...................\...\........\plot_restoration.py,1960,2015-04-14
...................\...\........\plot_segmentations.py,3986,2015-04-14
...................\...\........\plot_shapes.py,1913,2015-04-14
...................\...\........\plot_skeleton.py,1753,2015-04-14
...................\...\........\plot_ssim.py,2238,2015-04-14
...................\...\........\plot_swirl.py,2581,2015-04-14
...................\...\........\plot_template.py,1663,2015-04-14
...................\...\........\plot_threshold_adaptive.py,1307,2015-04-14
...................\...\........\plot_tinting_grayscale_images.py,5336,2015-04-14
...................\...\........\plot_view_as_blocks.py,2002,2015-04-14
...................\...\........\plot_watershed.py,2335,2015-04-14
...................\...\........\plot_windowed_histogram.py,5127,2015-04-14
...................\...\........\README.txt,120,2015-04-14
...................\...\ext
...................\...\...\docscrape.py,16845,2015-04-14
...................\...\...\docscrape_sphinx.py,9436,2015-04-14
...................\...\...\LICENSE.txt,4473,2015-04-14
...................\...\...\notebook.py,3042,2015-04-14
...................\...\...\numpydoc.py,6569,2015-04-14
...................\...\...\plot2rst.py,20439,2015-04-14
...................\...\...\plot_directive.py,20530,2015-04-14
...................\...\gh-pages.py,4518,2015-04-14
...................\...\logo
...................\...\....\data


...................\...\....\Makefile,290,2015-04-14
...................\...\....\scikit_image_logo.py,5051,2015-04-14
...................\...\....\scipy_logo.py,7731,2015-04-14

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • efficient_subpixel_registration
    此程序是基于互相关的亚像素级图像匹配的代码,此种配准方法误差小,精度高。(This procedure is based on the cross-correlation of sub-pixel image matching of the code, such a registration method error and high accuracy.)
    2009-07-20 09:57:05下载
    积分:1
  • dutu
    这是个读取视频中每一帧并按顺序保存的小工具,因网上现成的太少,故自己编写(This is a small tool for reading vedio and save every frame in it .)
    2019-05-21 17:46:14下载
    积分:1
  • tmp_6575-SSEM240973671
    此函数三维可视化显示太阳,地球和月亮。可以输入现实参数数据(Function SSEM displays 3D Visualization of SUN, EARTH and Moon with two option i.e. with actual data and without actual data just for fun.)
    2018-04-22 09:16:22下载
    积分:1
  • registration
    SAR图像和光学图像的配准算法!!!matlab源码~~~~绝对好!(SAR image and optical image registration algorithm! ! ! matlab source code ~ ~ ~ ~ definitely good!)
    2009-11-28 23:30:43下载
    积分:1
  • Blend
    投影机边缘融合软件,可以仿真几何变换,羽化(Edgeblend simulation sofeware)
    2020-10-13 14:57:31下载
    积分:1
  • VolumeRayCasting_101
    利用raycasting实现三维重建,直接体绘制,老外写的(raycasting volume rendering C++ C# vs2008)
    2019-04-20 08:58:59下载
    积分:1
  • Locating-Voltage-Sags
    电压跌落是最严重的动态电能质量问题之一, 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量,现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能, 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系,多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值,考虑了系数之间的相关性,能获得更好的 去噪效果。通过 Matlab 进行仿真验证,仿真结果表 明,所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)
    2014-03-25 17:08:50下载
    积分:1
  • image-processing
    冈萨雷斯数字图像处理MATLAB版,是我们学习图像处理必备的书籍(Gonzales digital image processing MATLAB version, we study the image processing necessary books)
    2016-05-04 11:45:37下载
    积分:1
  • graphcuts
    简单的graph cut 算法,初学者适合(Simple graph cut algorithm for beginners)
    2020-09-14 16:57:56下载
    积分:1
  • VASP-Utilities-master
    说明:  UTILITEUR VASP POUR LE CALCUL DES PHONONS
    2020-04-07 23:08:24下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 31今日下载