23.2  Left Image
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

23.1  Data 
23.2  Left Image 
23.3 Right Image 
23.4 Automatic Tracking 

 

 

[Home][23 Counting & Tracking][23.2 Left Image]

 

23.2   Counting the Left Image

 

Figure 23.3 Counting the Left Image.

Please restart your ImageFinder so you do not carry over the old setting.

‘Counting’ will count the number of physically separated objects. Note: Customization will allow you to count non-physically separated objects.

To count the number of segments in the key image:

Input:

            Key:   “.\ input_Auto_track\SPOTS.jpg”

Parameters

        All default values.

Operation

  •    Click the “Key” button and select “.\input_Auto_track\SPOTS.jpg”;
  •    Click the “Source” button and select “.\input_Auto_track \”;
  •    Set the Parameters as specified above;
  •    Click the “Counting/Count Left” button to count the number of segments on the left image.

Results

        Count = 32

        Max Area = 3350

        Min Area = 375

        Avg Area = 700

        Total Area = 23050

        x range = [0, 375)

        y range = [0, 425)

        Connection Threshold (2 to 8) = 3

        Area Threshold = 175

        ID  Area    X   Y   Perimeter

        0   3350    240 80  610

        1   1550    330 185 285

        2   1450    270 180 245

        3   1125    250 285 200

        4   1050    115 355 200

        5   1050    175 195 190

        6   875 175 285 140

        7   650 260 240 120

        8   625 140 395 115

        9   600 90  150 100

        10  600 150 75  100

        11  575 115 290 105

        12  575 65  195 110

        13  550 105 180 110

        14  550 125 120 110

        15  525 95  220 95

        16  525 225 210 95

        17  525 45  170 105

        18  500 65  250 95

        19  500 295 75  95

        20  475 75  325 85

        21  475 35  270 90

        22  475 20  225 90

        23  450 295 260 85

        24  450 150 235 80

        25  450 195 160 90

        26  450 195 120 80

        27  425 215 275 75

        28  425 230 135 75

        29  425 295 130 75

        30  425 250 20  75

        31  375 205 330 75

Here:

        (x, y) is the center of the segment;

        Area is the area of each segment in pixel-squares;

        Perimeter is the perimeter of the segment in pixels;

        x range = [0, 375) and y range = [0, 425) are the x- and y-dimensions of the image.

 

Figure 23.4  Counting the Right Image.

 

[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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