14 BioFilters
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 
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14.   BioFilters

The BioFilter matches two whole images. The BioFilter is better than Unsupervised Matching, but it requires a process called training. Training teaches the BioFilter who should match with whom. The BioFilter learns how to match the image features.

  •    The advantage of the BioFilter is that it does not require a lot of training data.
  •    The disadvantage of the BioFilter is that it has a lower identification rate than the Neural Filter.

Figure 14.1 Training Menu.

The chapter project is located at:


The executable file is located at:


We also call this folder “.\”. That is, “.\” is “c:\transapplet70\imagefinder\bin\Release\”. The data is located at: “.\ex_label” or “c:\transapplet70\imagefinder\bin\Release\ ex_label”.


[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]

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