The programs in this directory illustrate geometric feature detection
as discussed in chapter6. The features detected are intersections,
end points and loops. As a preliminary step in the feature detection
process, thinning(see chapter 3) is performed. The two programs found
in this directory are:
1) showdata
2) feature
Sample data can be found in: chrdata.bm
Sample output data can be found in: chrdata.0, chrdata.1,...,chrdata.9.
SHOWDATA:
The showdata program read character data in the format of a ".BM" file,
converts it to a matrix representation and outputs the image in text mode
to the screen. Characters are on a 16x 24 pixel grid.
".BM" consist of an arbitrary number of records where each record
consists of:
byte 0x00: always 0x00
byte 0x01: ascii code of the character
bytes 0x02-0x31: data in 1 bit-per-pixel format. (i.e. Thus it takes
2 bytes to represent a row of the character matrix.)
FEATURES:
Accepts a ".BM" file as input and creates: 1) a thinned version of the
target character and 2) a version of the character consisting only of
pixels that are loop members. The original, thinned and loop member
versions are all displayed. Coordinates for intersections and endpoints
are calculated and displayed. Loop mass and the coordinates of the loop
center of mass are calculated and displayed as [mass,(x,y)].
TO Compile:
icc showdata.cpp <enter>
Usage:
showdata SourceFile <enter>
where SourceFile is the name of a ".BM" format file
(both name and extention are required)
FEATURES:
To compile:
icc features.cpp <enter>
Usage
features SourceFileName <enter>
x
where SourceFilename is the name of a ".BM" format file.
(ONLY the file name should appear on the command line
as the program will fill in the .BM extention.
Output from the program will go to both the screen and to
files SourceFilename.1, SourceFilename.2, SourceFilename,...
Pattern Recognition With Neural Networks In C++(source)
5星 · 超过95%的资源 需积分: 5 125 浏览量
2011-11-03
22:07:42
上传
评论
收藏 538KB RAR 举报 
Pattern Recognition With Neural Networks In C++(source) （146个子文件） 
CHRDATA.0 2KB CHRDATA.1 2KB CHRDATA.2 1KB CHRDATA.3 2KB CHRDATA.4 1KB CHRDATA.5 1KB CHRDATA.6 1KB CHRDATA.7 1KB CHRDATA.8 1KB CHRDATA.9 2KB CHRDATA.BM 506B RESULTS.BP 1KB TRAINALL.CMD 371B TRAIN1A.CMD 44B TRAIN1.CMD 39B TRN2PICP.CMD 34B GRID1.CPP 47KB FEATURES.CPP 25KB PNET.CPP 23KB BPROP.CPP 22KB ALOPEX.CPP 19KB QNET.CPP 15KB GRID1.CPP 14KB VQ.CPP 13KB ART.CPP 10KB GRIDCLAS.CPP 10KB HOPNET.CPP 9KB KMEANS.CPP 9KB LVQ.CPP 8KB SOFM.CPP 7KB KNET.CPP 6KB STK2RAS.CPP 5KB LAM.CPP 5KB COORDQ.CPP 2KB TRN2PIC.CPP 2KB SHOWDATA.CPP 2KB UTILITY.CPP 217B ART001.DAT 236B ART002.DAT 236B KM2.DAT 191B VQ3.DAT 125B VQ1.DAT 121B VQ2.DAT 121B GRID1.DEF 279B BPROP.DEF 264B GRID1.DEF 196B
GRID1.EXE 96KB LVQ.EXE 67KB BPROP.EXE 64KB LAM.EXE 57KB VQ.EXE 53KB KMEANS.EXE 51KB FEATURES.EXE 50KB HOPNET.EXE 50KB SOFM.EXE 50KB KNET.EXE 49KB ART.EXE 47KB TRN2PIC.EXE 42KB SHOWDATA.EXE 29KB H8.GBL 101B H16.GBX 111B SKEL8.GBX 101B M12CHARS.H 21KB MISCLIB.H 2KB MISCLIB.H 2KB GRID1.H 2KB GRID1.H 2KB PREP.H 1KB RASHEADR.H 212B LOAD.HPP 1KB UTILITY.HPP 874B MAKEFILE 1KB MAKEFILE 1KB KNETSAMP.OUT 44KB VQ1.OUT 4KB VQ2.OUT 4KB VQ3.OUT 4KB ART002.OUT 4KB ART001.OUT 3KB LVQ1.PAT 1KB SOFMSAMP.PAT 150B KNETSAMP.PAT 150B LVQ1.PIC 409B SKEL8.PRM 42B H8.PRM 41B H16.PRM 41B THE.RAW 1KB H.RAW 470B E.RAW 233B GRID1.RC 4KB GRID1.RC 3KB SAMPLE.RES 8KB GRID1.RES 2KB DIGIT0.TRN 3KB DIGIT9.TRN 3KB DIGIT8.TRN 3KB DIGIT1.TRN 3KB DIGIT3.TRN 2KB DIGIT4.TRN 2KB DIGIT7.TRN 2KB共 146 条
- 1
- 2
资源评论
沐兰心2014-08-23有C++代码，有助于理解神经网络。
janiferjiang2013-12-29书配上代码，不错！目前多数的神经网络都是用matlab做的，用C/C++写的很少！不错！
