资源列表
lpcseg
- 用matlab做的车牌识别的完整源代码,包括车牌定位,二值化,滤波去噪,字符分割,识别,识别部分用的BP网-Matlab do with License Plate Recognition complete source code, including the license plate location, binarization, filtering noise, character segmentation, identification, identification of parts
zhixian
- 这是数控技术课本上的逐点比较法插补直线和圆弧的程序,-This is the numerical control technology textbook case-by-point comparison of linear and circular interpolation procedures
orc
- OCR细化的粘连数字串的分离和识别方法 -OCR detailed figures string of adhesion separation and identification methods
saa7115
- 在DM642的开发板中,视频图像解码芯片使用飞利浦公司的saa7115,其功能就是产生行,场,帧同步信号,并且使用梳行滤波器将图像数据分割开来,并传输亮度信号,此程序即控制saa7115的运行!-In the DM642 development board, the video image decoder chip using the Philips saa7115, its function is to have a line, field, frame synchronization sig
Test
- 最近因为工作需要,开发了一个图片放大,缩小,旋转等功能的动态库文件,包括一个简单的实例功能。其中包含图片的百叶窗,橡皮擦,移动等效果。由于工作问题,不能开发源码,所以只提供动态库文件给大家分享-Recently, because of job needs, and developed a picture to enlarge, narrow, rotating features such as dynamic library files, including a simple example o
shiwenLevelSet__1.0
- 水平集合的一个很好实现,具有很好的移植性和可扩展。很好用!-Level set to achieve a very good, with good portability and scalability. Good use!
Canny
- 一个像素级别的边缘检测,在各种边缘检测算子中被认为是最优算子-A pixel-level edge detection, in a variety of edge detection operator is considered optimal operator
npcnn4
- 利用信息熵,确定迭代次数,完成pcnn脉冲耦合神经网络的图像分割-The use of information entropy, determine the number of iterations, complete PCNN PCNN image segmentation
zhaotuozhan2
- 根据输入点(人工),结合边缘检测,找到道路提取中道路的端点-According to the importation of points (artificial), combined with edge detection, extraction of the road to find the path endpoint
pc
- 用来进行简单滤波的一种算法,这个算法主要用来把领域中不可能都成直线的点滤波掉-Used for a simple filtering algorithms, this algorithm is mainly used to the field can not have a linear filtering out of the points
nihe
- 用于拟合道路边缘的离散点为一曲线的程序,-The edge of the road for the fitting of a curve discrete points of procedure,
snake
- snake模型的matlab实现,不过输出是调整过的点,不是一条曲线-snake model matlab to achieve, but the output is adjusted point, not a curve
