14.1 BioFilter Menu
About1 Introduction2 Image Recognition3 TransApplet4 API5 Interface6 Input7 Image Display8 Preprocessing9 Processing10 Normalization11 Parameter Class12 Image Signatures13 Unsupervised Filters14 BioFilters15 NeuralFilters16 Dynamic Library17 NeuralNet Filter18 Parameters19 Input Options20 Database Input21 Video Input22  Live Video Input23  Counting & Tracking24  Counting 25  Batch Job26 ImageFinder for DOS27 ImageHunt 28 Support Packages

14.1 BioFilter Menu 
14.2 BioFilter API 
14.3 Training Design 
14.4 Implementation 
14.5 Parameters 
14.6 Example 
14.7 N:N Design 
14.8 N:N Implementation 
14.9 1:N Design 
14.10 1:N Implementation 
[Home][14 BioFilters][14.1 BioFilter Menu]


14.1   BioFilter Menu

The BioFilter Matching will have four steps:

  •    Signatures
  •    Training
  •    Matching
  •    Analysis

We discussed Signature Computation in earlier chapters. The BioFilter Matching is very similar to the Unsupervised Matching in the last chapter.

Training uses the data collected in advance to teach the BioFilter how to match. Training requires two files, t1.txt and match.txt.

  •    T1.txt is the signature file, which contains many signatures. Each image is converted into a signature.
  •    Match.txt is a list of matching pairs. This file will teach the ImageFinder who will match with whom. You must prepare this file.


[Home][About][1 Introduction][2 Image Recognition][3 TransApplet][4 API][5 Interface][6 Input][7 Image Display][8 Preprocessing][9 Processing][10 Normalization][11 Parameter Class][12 Image Signatures][13 Unsupervised Filters][14 BioFilters][15 NeuralFilters][16 Dynamic Library][17 NeuralNet Filter][18 Parameters][19 Input Options][20 Database Input][21 Video Input][22 Live Video Input][23 Counting & Tracking][24 Counting ][25 Batch Job][26 ImageFinder for DOS][27 ImageHunt ][28 Support Packages]

Copyright (c) 2006 - 2007 Attrasoft. All rights reserved.