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- 一种基于字符骨架中封闭曲线特征和纵向线条特征的两级初分类算法,将原来含有62个元素的待识别字符集比较平均的分成了三个子集,降低了后续处理的难度。-Research on Printed Character Recognition System Based on BP Neutral Network
BoneAnimation
- vs2003中用directx编写的两节骨骼。用户可以使用鼠标渲染顶部的骨骼，使用箭头键移动整个骨架。-directx prepared using vs2003 two bones. Rendering the user can use the mouse at the top of the skeleton, use the arrow keys to move the entire skeleton.
basedontheBackBone_GA
- 基于骨架的遗传算法---发表在计算机工程上的一篇论文的源码-Genetic algorithm based on skeleton--- Computer Engineering, published in the paper on the source
030103
- 细化广泛应用于图像处理与模式识别。从细化得到的骨架不但保持了原图像的几何和拓扑特征，而且更重要的 是减少了图像的冗余。细化算法多种多样，本文介绍了一种简单但却具备其它算法优势的细化算法。本算法仅使用几 条简单的规则来决定是否删除像素点，以达到细化的目的。经计算机模拟该算法对汉字的处理过程，证实其快速且易于 实现。 -Thinning is widely used in image processing and pattern recognition. Skeleton obtai
NachOS-4.1
- Nachos的全称是“Not Another Completely Heuristic Operating System”，它是一个可修改和跟踪的操作系统教学软件。它给出了一个支持多线程和虚拟存储的操作系统骨架，可让学生在较短的时-Nachos is the full name of " Not Another Completely Heuristic Operating System" , which is a modification of the operating sys
fd
- 一种同时完成字符图像线段提取和细化的算法。在定义字符图像的线段区域、交点区域和子段区域,同时指出待细化字符图像是线段区域的集合的基础上,首先基于图像行(列)连通像素段来提取字符图像中所有的交点区域和子段区域,然后对属于同一线段区域的所有子段区域和交点区域进行合并,最后用Bernstein-Bezier多项式方法拟合每个线段区域的骨架 -At the same time, the image of a complete line of characters to extract and ref
comlib
- 超小的COM执行库（骨架只有150字节）-The implementation of the ultra-small COM library (skeleton only 150 bytes)
Pic
- 這是一個圖像處理程式,利用裡面的一個SBITMAP類別加強Graphics::TBitmap類別的使用簡易性,內部的影像處理皆使用此類別,此程式的主要目的是求出 圖像的邊界or字的骨架(自己決定) 再由機械手臂繪出(內有程式解說圖檔)-This is an image processing program, use it to strengthen a SBITMAP category Graphics:: TBitmap categories of the use of simplicity,
pci-skeleton
- 这是一个PCI驱动的骨架，结合实际的项目添加一些东西就可以完成驱动的开发。同时可以参考国外的那本《《linux设备驱动》-This driver is for boards based on the RTL8129 and RTL8139 PCI ethernet chips.This file is not a complete program and may only be used when the entire operating system is licensed under the
usb-skeleton
- 这是一个USB驱动的骨架，可以实现基本的功能，添加一些自己的东西就可以实现USB驱动的编写-This driver is based on the 2.6.3 version of drivers/usb/usb-skeleton.c but has been rewritten to be easy to read and use, as no locks are now needed anymore.
usb-driver
- 这是一个USB驱动的骨架，可以结合自己的实际需要添加一些代码，就可实现驱动的编写-This driver is based on the 2.6.3 version of drivers/usb/usb-skeleton.c but has been rewritten to be easy to read and use, as no locks are now needed anymore.
cxzx
- 本软件采用VC++/OpenGL开发环境，对3ds格式的三维数据模型进行读入与处理（旋转、缩放和平移，提供不同的图元浏览模式，骨架的提取等等）-The software using VC++/OpenGL development environment, on the 3ds format, read into the three-dimensional data model and processing (rotation, scaling and translation, provide d
Img2
- VC++开发的基本图象处理程序，包括分割，滤波，K均值分割，骨架提取，形态学方法，Hough变换等。-VC++ development of the basic image processing procedures, including segmentation, filtering, K mean segmentation, skeleton extraction, morphological methods, Hough transform and so on.
pci-skeleton
- PCI骨架程序代码相当不得错哦~~ hoho~-PCI skeleton program code rather not be wrong oh ~ ~ hoho ~
BCB6
- 图像细化一般作为一种图像预处理技术出现,目的是提取源图像的骨架-Image thinning generally occurs as an image pre-processing techniques aimed at extracting the skeleton of the source image
ps
- 细化算法有很多，我们在这里介绍的是一种简单而且效果很好的算法，用它就能够实现从文本抽取骨架的功能。我们的对象是白纸黑字的文本，但在程序中为了处理的方便，还是采用256级灰度图，不过只用到了调色板中0和255两项。-There are many thinning algorithms, we have presented here is a simple but very effective algorithm, it can be achieved with the text extracted
DIP
- 数字图像处理 空间/频率域滤波 霍夫变换 骨架细化法 膨胀与腐蚀-Digital image processing, spatial/frequency domain filtering Hough transform matrix expansion and corrosion thinning France
MYCIN
- MYCIN不确定推理机的C++骨架程序，运行高效率。-MYCIN uncertainty reasoning machine C++ skeleton program, run efficient.
ranseti1
- 染色体配对程序，先通过分割算法分割出单个染色体，在利用染色体的面积、周长、骨架来进行配对。-Chromosome pairing procedure, the first segmentation algorithm segmented by a single chromosome, chromosome in the use of the area, perimeter, skeleton matching.
sanweimubiaoshibie
- 用骨架法，支持向量机发对三维目标识别的最新博士论文，写的很好，也有具体的算法描述和实验结果。-With the skeleton method, support vector machines made the latest of three-dimensional target recognition doctoral dissertation, write well, but also a specific descr iption of the algorithm and experime