CHAPT3

所属分类:人工智能/神经网络/深度学习
开发工具:C/C++
文件大小:13KB
下载次数:6
上传日期:2005-11-23 16:04:23
上 传 者0011
说明:  神经网络模式识别及其实现,第三章。为大家提供参考。
(pattern recognition and neural network to achieve, the third chapter. To provide a reference.)

文件列表:
CHAPT3\E.RAW (233, 1994-07-18)
CHAPT3\GRID1.CPP (14365, 1995-08-22)
CHAPT3\GRID1.DEF (196, 1995-08-21)
CHAPT3\GRID1.H (2077, 1995-08-22)
CHAPT3\GRID1.RC (3056, 1995-08-22)
CHAPT3\GRIDCLAS.CPP (10129, 1995-08-22)
CHAPT3\H.RAW (470, 1994-07-17)
CHAPT3\MAKEFILE (1070, 1995-08-21)
CHAPT3\MISCLIB.H (2395, 1995-08-22)
CHAPT3\RASHEADR.H (212, 1994-01-18)
CHAPT3\STK2RAS.CPP (5225, 1995-08-22)
CHAPT3\THE.RAW (1071, 1994-07-15)
CHAPT3 (0, 2005-11-23)

This directory contains code for 1) character compression using run length code - see class RLCX in gridclas.cpp 2) conversion of stroke data to a pixel map representation. - see stk2ras.cpp For thinning code see the class cthinner in file: \chapt6\features.cpp. There the features code applies thinning to a bit mapped character as a prelude to geometric feature extraction. The output (using the sample data provided) graphicallyshows the effects of the thinning algorithm Two programs are included in this directory: STK2RAS takes a stroke file as input and converts it into a bit-per-pixel representation (along with some header information, see RASHEADR.H). The output of the STK2RAS program is a .RAS file. The GRID1 program found in this directory is a PM program which takes a .RAS file as input and displays the image. Notice that the GRID1 program uses run length compression. See class RLCX to scale the image. Usage for STK2RAS is STK2RAS fname where fname is the filename WITHOUT extention. A .RAW extention is appended on input. A .RAS extention is appended on output. Several sample .RAW stroke files are included in this directory. To compile STK2RAS: ICC STK2RAS.CPP Usage for GRID1 GRID1 To compile GRID1 NMAKE A makefile is included for GRID1. 

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