12 Image Signatures
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

12.1 Signature Menu 
12.2 API 
12.3 Objects 
12.4 Key Signature 
12.5 Signature File 
12.6 Implementation 
12.7 Examples 
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12.   Image Signatures

Image Matching is done through something called Image Signature. An image has a set of computed values called features. A collection of features is grouped into a signature.

In this project, we will use Signature Menu Items to compute. The input is an image and the output is a signature. We will show how to use the Image Signatures in image matching in the next chapter. This chapter introduces how to compute signatures only, which will take an input image and produce a signature.


[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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