登录
首页 » Python » scikit-image-master

scikit-image-master

于 2015-04-18 发布 文件大小:14975KB
0 163
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

  • S-UNIWARD_matlab
    对图像的隐写术,进行信息隐藏,版权保护。(Steganography is used to hide information and copyright protection.)
    2021-03-21 15:09:17下载
    积分:1
  • Jpeg2000Gui
    JPEG2000matlab实现 最新的图像压缩标准(JPEG2000matlab achieve the latest image compression standard)
    2007-05-07 15:43:42下载
    积分:1
  • 程序
    海杂波背景下的分形特征,目标检测,赫斯特指数(HEST = wfbmesti(X) returns a row vector HEST which contains three estimates of the fractal index H of the signal X supposed to come from a fractional Brownian motion of parameter H.)
    2017-09-14 15:10:28下载
    积分:1
  • 处理
    VC图象处理电子书,Chm格式,基本与位图相关的都作了说明,很不错(VC image processing e-books, Chm format, and basic bitmap were made related to the note, a very good)
    2005-03-23 09:44:48下载
    积分:1
  • test_skin
    说明:  基于YCbCr椭圆模型,使用肤色进行人脸检测(use the skin color to detect human-face base on YCbCr modal)
    2010-03-24 17:35:41下载
    积分:1
  • zernikeSubpixelRecognization
    zernike亚像素识别算法,matlab实现。(Zernike sub-pixel recognition algorithm, matlab achieve.)
    2020-09-16 22:27:56下载
    积分:1
  • cxysplitter_project
    在对话框中实现splitter(achieve splitter)
    2004-10-18 20:35:34下载
    积分:1
  • 低时延检测技术分析
    低时延检测技术分析,包括免调度和信息重传,低时延(Low latency detection technology analysis, including free scheduling and information retransmission)
    2017-05-24 20:18:40下载
    积分:1
  • OpenCV-Computer-Vision-With-Python
    本书叙述如何使用Python中的OpenCV库实现视频捕捉、图像处理、目标检测等功能。(This book will show you how to use OpenCV s Python bindings to capture video, manipulate images, and track objects with either a normal webcam or a specialized depth sensor, such as the Microsoft Kinect.)
    2021-04-24 16:48:48下载
    积分:1
  • BM3D
    说明:  自己实现的BM3D图像去噪算法。它首先把图像分成一定大小的块,根据图像块之间的相似性,把具有相似结构的二维图像块组合在一起形成三维数组,然后用联合滤波的方法对这些三维数组进行处理,最后,通过逆变换,把处理后的结果返回到原图像中,从而得到去噪后的图像。(Image Denosing by Sparse 3-D Transform-Domain Collaborative Filtering.)
    2021-04-01 16:29:08下载
    积分:1
  • 696518资源总数
  • 105873会员总数
  • 12今日下载