资源列表
yda
- 一个工程，可以进行很多图像处理的，大家可以试一下，-a project, a lot of image processing, we can try something, Oh
zhanheduilie(2)
- 是实验2。同样也是我自己写的~老师说好，大家下吧 -is an experiment two. The same is I wrote it myself - that good teachers, we are you
stackandlist(1)
- 栈和队列的实验一。以前上课的时候编写的时候花了很长时间的。-stack and a queue of experiments. The time before class time spent preparing for a very long time.
ellipse123
- use API to draw ellipse -use API to draw ellipse
Craft_Inequality
- Craft不等式（中文介绍）。讨论识别抽象实体的信息能多快得传送到输出端。-Craft Inequality (English presentation). Recognition discussion of abstract entities more information can be quickly transmitted to the output terminal.
C-Free
- 看标题就明白了~! 是一个注册机来的，不过，我不知道能不能上载，这是我第一次上载东西，希望大家支持~!-can understand the title on ~! RI is the one, but I do not know whether or not available, This is the first time I set out on things that we support ~!
ENDlogo1
- 针对近期logo1在许多网吧和局域网造成了巨大的破坏，我写了这个专杀希望帮得了大家-recently logo1 in many Internet cafes and LAN causing enormous damage, I wrote the hope that the killing could help everyone
060216uCOS_for_51
- UCOS在51上的移植,绝对经典！可以较少开发人员的工作量，提高开发效率！-UCOS in 51 of the transplant, absolute classic! Less development of the workload, to improve the efficiency!
shuzilImageProcess
- 各种图形图像处理的源代码，用VC++实现,如包括图象的边缘检测与图象分析源代码、图象增强源代码、图象的几何变换、图象灰度变换源代码等。-various patterns of source code, with VC. If the images including edge detection and image analysis of the source code, source code image enhancement, image geometry transformation,
fluentos-C
- 我个人编写的操作系统,实现了保护模式并切换到用户态运行用户进程,对与操作系统初学者有一定帮助!-I personally prepared by the operating system, achieved a protected mode and switch to user mode users running process, with the right operating system will definitely help beginners!
renlianDetection
- 基于YCrcb肤色模型的人连检测系统.用VC++实现.还包括人脸、眼睛、嘴巴的定位分割。-YCrcb color model based on the long-detection system. With VC. Also including face, eyes, Segmentation mouth positioning.
CarPlateRec
- 车牌定位与识别系统,首先将彩色图像转化为256灰度图像,然后用边缘检测和形态学等实现定位,再用神经网络方法实现字符识别.-plates positioning and identification system will first color image into a 256 grayscale image, Then Edge Detection and morphology, and so on to achieve positioning, and then neural network