Screenshots     Download     Pricing     Docs     Tutorials     Resources     Contact     Forum     Search  

Shape Matching

The Shape Matching module provides a way to match a binary image to a known database of images. The module is used to recognize shapes and provides statistical relationships between the currently viewed object and that stored in the image database. Note that the shape matching is based on actual image shape and NOT on direct pixel matching as done in image template matching. In this way the matches are invariant to shape translation, size and orientation.

The module uses a specified folder for training. It expects to see black and white images in that folder that are processed for shape information. (White being the shape, black being the background). Using this database of images, new images fed in from the camera (after being thresholded) will be compared to the known database with resulting similarity being displayed.

The module does NOT adapt to changes in perspective. Thus if your shape is on the floor with your camera pointing outwards, you will probably not get very good matches. You'll need to use the Perspective module to adjust the image such that the shape appears as if the camera was looking right down on the shape. Alternatively, you can snap many images of the shape given perspective distortion which would proide some stability ... but not as reliable as warping the image prior to matching.


Shape Matching Interface


1. Press the 'Train' button to create a new image database. This will popup the training dialog. Training images should be located in a specified folder. If you need to train on a live image from the camera, take a snapshot of that image, threshold to black and white (white being active signal) and save that image to a known folder. This folder becomes the 'training' database. When new images are added or old ones deletected you will need to retrain.

2. Click on '...' to select the folder where the images you would like to train on are. NOTE: the shape matching only works on binary black and white images with the object being in white and the background in black.

3. Select 'Start' to start training. If you would like training to happen automatically whenever a file is added, updated or deleted from the specified folder select the 'Monitor Folder' checkbox.

4. After training click on OK and begin viewing which images match the current image.

5. Click on OK to remove the matching dialog. This window can be viewed again at any time by 'editing' the module again.

6. Depending on your matches you may want to filter out specific objects. In order to get a sense of what you can use to filter out objects click on the Display checkboxes which will show the match information about each object in the main RoboRealm image window.

Confidence - how well the shape matches those in the database. Note that this refers to the best available match in the database of trained shapes.

Orientation - how the shape would have to be rotated to match the closest match in the database. The angle of rotation is relative to the orientation provided in the shape database. Thus exact shape matches will be 0 degree rotation whereas mirrored objects would be rotated 180 degrees.

Size - the relative size of the shape to that in the database. 100% means the shape is the same size as that in the database. 150% means that the shape is much larger than that in the database.

Coordinates - the center of where the detected shape and the match in the shape database best correlate. This is the center of the boxes draw around the matches.

Filename - the name of the image file that represents the best match found in the database. I.e. this was the original filename of the image as it went into the shape database.

Box - shows a bounding box around a matched shape that represents the scaled dimensions of the entire shape image in the database.

7. Filter Confidence - to remove shapes that are below a confidence threshold set the number in the Min Conf text area. If you wish to eliminate shapes of high confidence then enter a lower number in the Max Conf.

8. Filter Size - used to remove those shapes that are either much larger or smaller than the original used in the database.

9. Filter Orientation - used to remove shapes that are different in orientation to the shapes in the database. For example, to remove a 180 degree rotated image enter 170 for Min Angle and 190 for Max Angle to provide 20 degrees of noise tolerance. To do the same around 0 degrees use 350 in the Min and 10 in the Max. Note that angles reset to 0 above 360.

10. Filter Matching - if you just want to select the top 1 or 2 matches enter that number in the text box. This will remove all but the top X number of matches.

11. Other - unselect the "Rotational Invariance" checkbox if you do not want the system to ignore orientation during matching. This can been illustrated when matching the digits '9' and '6' which are often a 180 degree rotation of each other depending on font used. Unchecking the rotational invariance checkbox will ensure that templates match based on their current rotation.

12. Shapes Array - for further processing or exporting of data you can select the "Create SHAPES Array" which will create an array of the results of this module to be accessed by VBScript or external modules. On selecting this checkbox the following VBScript program could function.

shapes = GetArrayVariable("SHAPES")
names = GetStrVariable("SHAPES_PATH")

if isArray(shapes) then
  if ubound(shapes) > 0 then
    for i=0 to ubound(shapes)-1 step 9
      nstart = shapes(i+7)
      nend = shapes(i+8)
      write "Conf: " & (shapes(i)/1000) & "%  Path: " & _
        mid(names, nstart, nend)
  end if
end if

The SHAPES array is composed of 9 numbers as follows:
Offset      Contents
0           Match Confidence 0-100
1           Orientation 0-360
2           Relative Size
3           X min coordinate of bounding box
4           X max coordinate of bounding box
5           Y min coordinate of bounding box
6           Y max coordinate of bounding box
7           Path start index
8           Length of path

The Path index is a number that defines an offset into another variable SHAPES_PATH that contains all the path information for a particular match. Using the SHAPES_PATH and the length of the path you can extract out the path for the match as illustrated in the small script above.

Note that the creation of a binary image shape matching database will create a roborealm.shape file in that folder. This file contains the image information needed for matching and is a more compact form than the original image pixels.

You can change the ordering of the shapes array by selecting the appropriate checkbox. The default order of the array is in order of encounter from a bottom to top, right to left scanning. Selecting either checkbox will order the array based on the particular axis with respect to the center of the object.


The user interface image above shows the closest match to

Source Shape Match Image

Note that the appropriate confidence, orientation, size, and coordinates are provided in the interface. You can access these statistics using RoboRealm variables within the appropriate modules (like the VBScript module). The following variables (in addition to SHAPES Array) are defined for the top match only:

SHAPE_FILENAME - filename of matched shape
SHAPE_FOLDER_1, SHAPE_FOLDER_2, etc - sub folders of matched shape
SHAPE_ORIENTATION - orientation of current shape relative to match
SHAPE_SIZE - relative size of match to that stored in database
SHAPE_X_COORD - x axis offset of shape relative to that in database
SHAPE_Y_COORD - y axis offset of shape relative to that in database
SHAPE_CONFIDENCE - how close the current object matches that stored in database

See Also

Object Recognition
Image Matching
Auto Threshold
Center of Gravity

 New Post 
Shape_Match Related Forum PostsLast postPostsViews
Shape recognition Giving spurious results
It's been a while since I first started experimenting with RR. Now I'm back at it to create a working application,...
1 year 3 159
Matching Confidence Level
I'm new to RoboRealm, and I'm trying to use it to match parts from what would be a database of images, but the accuracy level is...
1 year 2 146
Custom Algorithm
hello sir, I am doing research in Artificial Intelligence and robotics area. I feel glad to find RR and wish to use it in my wor...
2 years 9 600
Variables, Auto-Play, Save of Shape-Match Train
Hello, i bought Roborealm today and I have similar problems... :) Firs...
2 years 7 1042
Shape match: Inclusion of Samples
Follow up: An inclusion of training samples into the RoboRealm Source code (as you can do it for im...
3 years 3 680
Local folders for shape match training allowed?
STeven, is it possible to assigna a local subfolder to a shap match training sample set, such as a ...
3 years 3 652
shape matching
Hi! In the database only 2 files. One is circle.jpg another is square.jpg. I put anything in the camera. It only match the resul...
3 years 4 934
Shape Match Confidence
I am using shape matching, and have an image recognized at 90.8% confidence, and 105% size, using a filter size of 101 to 130%.&...
3 years 10 1449
RR unable to write files
Hi Steven, Today started using RR (Version 2.57.5) on my new windows 7 (embedded) computer. To my s...
4 years 2 749
exporting variables
Hi : I'm having difficulty getting geometric_statistic variables out of just objects that are shape matched in an image. I have...
4 years 2 911
Write variables
Hi, We would like to export the X and Y coordinates from some blobs. They are shown a...
4 years 2 810
Defect Detection of No. Plate
Hi, I am a new user of RoboRealm. It's really a fantastic software. Currently, I'm trying to use...
4 years 7 1608
hi guys i am trying to detect the gestures of my hand, using the blob shapes,, oper...
5 years 2 1411
machine vision to control the cut position
We are the large format digital print company. I have a used fotoba cutter was made in Italy, it can work for us d...
5 years 4 1653
Object recognition or fiducual?
Hi, I am using RR on my robot to identify markers on a path so that the robot knows where it is. The...
5 years 6 2583

© 2005 - 2017 RoboRealm. All Rights Reserved. | Contact | Privacy | Disclaimer | Link to Us |