13.1 Filter 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

13.1 Filter Menu 
13.2 Filter API 
13.3 N-Signature 
13.4 N:N Design 
13.5 N:N Implementation 
13.6 1:N Design 
13.7 1:N Implementation 
[Home][13 Unsupervised Filters][13.1 Filter Menu]

 

13.1   Unsupervised Filter Menu

Figure 13.2  Newly Captured Image.

First of all, we will create the menu and menu items shown in Figure 13.1.

The data used is shown in Figure 13.2. The matching problem is: assuming we have a newly captured image in Figure 13.2, let us match it against the existing master library and see if there is a match. There are 304 images in 152 pairs. The data is stored at “.\ex_label\” folder.

 

[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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