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Opening

Opening. One of the important morphological operations applied to either grayscale or binary images is Opening. It is derived from the fundamental operations Erosion and Dilation. Course Name: Digital Image Processing Level(UG/PG): UG

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Opening

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  1. Opening One of the important morphological operations applied to either grayscale or binary images is Opening. It is derived from the fundamental operations Erosion and Dilation. • Course Name: Digital Image Processing Level(UG/PG): UG • Author(s) : Phani Swathi Chitta • Mentor: Prof. Saravanan Vijayakumaran *The contents in this ppt are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 2.5 India license

  2. Learning Objectives After interacting with this Learning Object, the learner will be able to: • Explain one of the morphological operations (Opening)

  3. Definitions of the components/Keywords: 1 • The morphological Opening operation is erosion followed by dilation, using the same structuring element for both the operations . • The opening operation removes noise from an image while maintaining the overall sizes of objects in the foreground. • Opening is a useful process for smoothing contours, removing pixel noise, eliminating narrow extensions, and breaking thin links between features. • After using an opening operation to darken small objects and remove noise, thresholding or other morphological processes can be applied to the image to further refine the display of the primary shapes within the image. • Opening removes thin filaments of object pixels. • The effect of the opening operator is to preserve foreground regions that have a similar shape to this structuring element, or that can completely contain the structuring element, while eliminating all other regions of foreground pixels. 2 3 4 5

  4. Master Layout 1 1 Eroded Image Image after opening Original Image 2 3 • Give radio buttons to select any one structuring element of sizes 5x5, 7x7, 11x11 • The structuring elements (SE) are 4 5

  5. Step 1: 1 2 3 4 5

  6. Step 2: 1 2 3 4 5

  7. Step 3: 1 2 3 4 5

  8. Step 4: 1 2 3 4 5

  9. Step 5: 1 2 3 4 5

  10. Step 6: 1 2 3 4 5

  11. Step 7: 1 2 3 4 5

  12. Step 8: 1 2 3 4 5

  13. Step 9: 1 2 3 4 5

  14. Electrical Engineering Slide 1 Slide 3 Slide 23, 24,25 Slide 26 Introduction Definitions Analogy Test your understanding (questionnaire)‏ Lets Sum up (summary)‏ Want to know more… (Further Reading)‏ Interactivity: Try it yourself • Select any one of the figures • a b • c d • Select the structuring element 14 Credits

  15. Questionnaire 1 1. What is the resulting image of fig. A after opening, using the Structuring Element Fig. A Answers: a) b) c) d) None 2 3 4 5

  16. Questionnaire 1 2. Fig. A is the resulting image after opening. What will be the original image(Opening is done using 7x7 Structuring Element)? Fig. A Answers: a) b) c) d) 2 3 4 5

  17. Questionnaire 1 3. After opening operation, will the resulting image look like original image? Answers: a) Always b) Sometimes c) Never d) None 2 3 4 5

  18. Links for further reading Reference websites: http://siri.lmao.sk/fiit/DSO/Prednasky/2a Morphological processing Recap & Extend / Digital Image Processing Lecture Morphological processing Recap &Extend.pdf http://en.wikipedia.org/wiki/Opening_%28morphology%29 http://homepages.inf.ed.ac.uk/rbf/HIPR2/open.htm http://idlastro.gsfc.nasa.gov/idl_html_help/Smoothing_with_MORPH_OPEN.html Books: Digital Image Processing – Rafael C. Gonzalez, Richard E. Woods, Third edition, Prentice Hall

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