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Learning OpenCV
book

Learning OpenCV

by Gary Bradski, Adrian Kaehler
September 2008
Beginner to intermediate content levelBeginner to intermediate
580 pages
20h 7m
English
O'Reilly Media, Inc.
Content preview from Learning OpenCV

Exercises

  1. Load an image with interesting textures. Smooth the image in several ways using cvSmooth() with smoothtype=CV_GAUSSIAN.

    1. Use a symmetric 3-by-3, 5-by-5, 9-by-9 and 11-by-11 smoothing window size and display the results.

    2. Are the output results nearly the same by smoothing the image twice with a 5-by-5 Gaussian filter as when you smooth once with two 11-by-11 filters? Why or why not?

  2. Display the filter, creating a 100-by-100 single-channel image. Clear it and set the center pixel equal to 255.

    1. Smooth this image with a 5-by-5 Gaussian filter and display the results. What did you find?

    2. Do this again but now with a 9-by-9 Gaussian filter.

    3. What does it look like if you start over and smooth the image twice with the 5-by-5 filter? Compare this with the 9-by-9 results. Are they nearly the same? Why or why not?

  3. Load an interesting image. Again, blur it with cvSmooth() using a Gaussian filter.

    1. Set param1=param2=9. Try several settings of param3 (e.g., 1, 4, and 6). Display the results.

    2. This time, set param1=param2=0 before setting param3 to 1, 4, and 6. Display the results. Are they different? Why?

    3. Again use param1=param2=0 but now set param3=1 and param4=9. Smooth the picture and display the results.

    4. Repeat part c but with param3=9 and param4=1. Display the results.

    5. Now smooth the image once with the settings of part c and once with the settings of part d. Display the results.

    6. Compare the results in part e with smoothings that use param3=param4=9 and param3=param4=0 (i.e., a 9-by-9 filter). ...

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Publisher Resources

ISBN: 9780596516130Supplemental ContentErrata Page