2.2 Filters
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

2.1 Structure 
2.2 Filters 
2.3 Processing 
2.4 Normalization 
2.5 Signature 
2.6 Segment Matching 


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2.2   Filters

For the ImageFinder, the Image Matching is divided into:

  •    Image Preprocessing
  •    Image Processing
  •    Normalization
  •    Signatures
  •    Feature Recognition
  •    Image Segment Recognition

One or more filters further implement each step:

    Image Preprocessing

          Preprocessing Filter

    Image Processing

          Edge Filter

          Threshold Filter

          Clean Up Filter


          Reduction Filter


          Signature Filter

    Feature Recognition

          Unsupervised Filter



    Image Segment Recognition

          Neural Net Filter

The image matching software design based on TransApplet is implemented to push an image through all these filters and at the end of pushing, the matching results will be obtained.

[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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