17 NeuralNet Filter
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
17.1 Key Segment 
17.2 Menu 
17.3 API 
17.4 Training  
17.5 1:N Design 
17.6 1:N Implementation 
17.7 Results 
17.8 Another Test 
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17.   NeuralNet Filter

Up to this point, we have focused on matching whole images. The NeuralNet Filter matches a segment of an image(s).

As we have seen, accurate matching via the NeuralFilter requires many matching pairs. Preparing matching pairs for whole images means listing all pairs in the match.txt file.

Preparing matching pairs for image segments is much harder; therefore, rather than using the NeuralFilter for image segments, we will use the Unsupervised Filter for image segments. As we have seen, the Unsupervised Matching for image segments is not as accurate as the NeuralFilter.

Figure 17.1  Locating an Image Segment.

The chapter project is located at:

        c:\transapplet70\imagefinder\.

The executable file is located at:

        c:\transapplet70\imagefinder\bin\Release\.

We also call this folder “.\”. That is, “.\” is “c:\transapplet70\imagefinder\bin\Release\”.

In this chapter, we will introduce a Trademark Recognition example. The objective is to identify and locate the trademarks in an image. Figure 17.1 shows a typical image. The data is stored in the folder, “.\input_auto_track”.

 

[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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