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Finding CCC TargetConcentric contrasting circle 

Assignment Description

 

Finding CCC Target

Concentric contrasting circle 

 

 

A Concentric Contrasting Circle (CCC) is shaped by insertion a black ring on a white background, or vice-versa.  As discus in the lecture please make a program to find the CCCs in  3 images (  the given image plus 2 other image you have to take by your own and place the 10  CCCs on the image before taking the picture )

 

 

 

Properties of the target image:

 "The target is a white ring surrounding a black dot. This feature is fairly unique in the image, because the centroid of the white ring will coincide with the centroid of the black dot.  You can automatically find the target by finding a white region whose centroid coincides with the centroid of a black region" ( 10 point  for taking the image by yourself)

 

Approach: –

1-     Threshold the image, a global threshold is fine .(5 point)

2-     If there are a lot of tiny (noise) white regions, you may need  to “clean up” 

You can use morphological “opening” to do this.  (5 point )   

3-     Then, find connected components and extract their region properties (e.g., centroid, area, bounding box)  5 point

4-     Complement the image, and repeat the process to  find all black blobs. (15 point)

5-      Now check every possible pair of white and black  blobs. (25 )

6-      Pseudocode:  

 for each white blob

for each black blob

    Get centroid of white blob

    Get centroid of black blob

        if distance between centroids < thresh

          % We have a possible CCC;

          %draw a crosshair at its centroid or

         %draw a rectangle around its bounding box

                                end if

                      end for

                 end for

 

Calculate the success of your algorithm in the 3 images using those measurements (30

 

1-     Num true /true positives: Number of true CCCs found in the image.

2-     True Found: Defined as ' true positives) divided by the actual number of CCCs in the images

3-     Num False (false positives) : Number of false CCCs found in the image

4-     Thresh number (try   different numbers  starting from .5 to larger numbers )

5-     Draw a graph showing at least one correlation between those variables.

 

 

Num true

True

Found

Num

False

Total of possibility

 

Thresh

Image 1

 

 

 

 

.5

Image 2

 

 

 

 

.5

Image 3

 

 

 

 

.5

Total

 

 

 

 

.5

Image 1

 

 

 

 

5

Image 2

 

 

 

 

5

Image 3

 

 

 

 

5

Total

 

 

 

 

5

Image 1

 

 

 

 

X

Image 2

 

 

 

 

X

Image 3

 

 

 

 

X

Total

 

 

 

 

X

Image 1

 

 

 

 

Y

Image 2

 

 

 

 

Y

Image 3

 

 

 

 

Y

Total

 

 

 

 

Y

 

 

-5 point for the report presentation

 

 

[1] L. Gatrell, W. Hoff, and C. Sklair, “Robust Image Features: Concentric Contrasting Circles and Their Image Extraction,” Proc. of Cooperative Intelligent Robotics in Space, Vol. 1612, SPIE, W. Stoney (ed.), 1991.

[2] C. Sklair, L. Gatrell, and W. Hoff, “Optical Target Location Using Machine Vision in Space Robotics Tasks,” Proc. of Advances in Intelligent Systems, Vol. 1387, SPIE, November, pp. 380-391, 1990.

 

 

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