3.5 Parameters
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

3.1 API 
3.2 Input 
3.3 Display 
3.4 Processing 
3.5 Parameters 
3.6 Signature 
3.7 Dynamic Library 
3.8 Segment Matching 
3.9 Input 
3.10 Counting 
3.11 Batch 
3.12 Customization 
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3.5   Parameters

Implementing an image matching software via the TransApplet means pushing an image through these 10 filters:

    1.  Preprocessing Filter

    2.  Edge Filter

    3.  Threshold Filter

    4.  Clean-Up Filter

    5.  Reduction Filter

    6.  Signature Filter

    7.  Unsupervised Filter

    8.  BioFilter

    9.  NeuralFilter

    10. Neural Net Filter

Each filter is an object (See their API in earlier chapters). Each filter will have many parameters and the 10 filters can have many parameters. It will be easier, from the programming point of view, to group all of the objects together and to group all of the parameter together.

Chapter 11, Parameters, will describe how to group all of the objects together and how to group all of the parameters together.


[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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