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Digital Image Processing Qazvin Islamic Azad University

Digital Image Processing Qazvin Islamic Azad University. Image segmentation A Survey of Soft Computing Approaches. Supervisor : Dr.Eftekhari moghadam. Presented By : AHMAD GHORBANI. Digital Image Processing Qazvin Islamic Azad University. Image segmentation Soft computing

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Digital Image Processing Qazvin Islamic Azad University

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  1. Digital Image ProcessingQazvin Islamic Azad University Image segmentation A Survey of Soft Computing Approaches Supervisor: Dr.Eftekharimoghadam Presented By : AHMAD GHORBANI

  2. Digital Image ProcessingQazvin Islamic Azad University • Image segmentation • Soft computing • Edge detection • Conclusion Introduction :

  3. Digital Image ProcessingQazvin Islamic Azad University • Image segmentation Introduction …

  4. Image segmentationA Survey of Soft Computing Approaches • Fuzzy based Approach • Genetic Algorithm Approach • Neural Network Approach Soft Computing Approach Original Image

  5. Image segmentationA Survey of Soft Computing Approaches Fuzzy based Approach Using Fuzzy Approach

  6. Genetic Algorithm Approach Image segmentationA Survey of Soft Computing Approaches Using Genetic Algorithm Approach

  7. Neural Network Approach Image segmentationA Survey of Soft Computing Approaches Using Neural Network Approach

  8. Image segmentationA Survey of Soft Computing Approaches Edge Detection For Image Segmentation

  9. Image segmentationA Survey of Soft Computing Approaches Type of Edges (a) Step Edge (b) Ramp Edge (c) Line Edge (d)Roof Edge

  10. Image segmentationA Survey of Soft Computing Approaches Steps in Edge Detection • Filtering • Enhancement • Detection

  11. Image segmentationA Survey of Soft Computing Approaches Some common types of noise • Salt and pepper noise • Impulse noise • Gaussian noise:

  12. Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches • The Roberts Detection Roberts Mask • The Prewitt Detection: Prewitt Mask Sobel Mask • The Sobel Detection:

  13. Image segmentationA Survey of Soft Computing Approaches • The comparison of the edge detections (a) Original Image (b) using Prewitt Edge Detection (c) using Roberts Edge Detection • (d) using Sobel Edge Detection

  14. Image segmentationA Survey of Soft Computing Approaches soft computing approaches to edge detection • Fuzzy based Approach • Genetic Algorithm based approach • Neural Network based Approach

  15. Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Original Image

  16. Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Prewitt Method

  17. Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Roberts Method

  18. Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Sobel Method

  19. Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Fuzzy Method

  20. Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Genetic algorithm Method

  21. Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Neural Network Method

  22. Conclusion … Image segmentationA Survey of Soft Computing Approaches

  23. Image segmentationA Survey of Soft Computing Approaches References [1] Orlando J. Tobias and RuiSeara, ”Image Segmentation by HistogramThresholding Using Fuzzy Sets”, IEEE Transactions on Image Processing,Vol.11, No.12, December 2002, pp. 1457-1465.[2] M. Abdulghafour, ”Image segmentation using Fuzzy logic and geneticalgorithms”, Journal of WSCG, vol.11, no. 1, 2003.[3] KanchanDeshmukh and G. N. Shinde, ”An adaptive neuro-fuzzy systemfor color image segmentation”, J. Indian Inst. Sci., vol. 86, Sept.-Oct.2006, pp.493-506.[4] Jander Moreira and Luciano Da Fontoura Costa, ”Neural-based colorimage segmentation and classification using self-organizing maps”,Anais do IX SIBGRAPI, 1996, pp.47-54.Processing, 2005, pp.204-207.[5] N. Senthilkumaran and R. Rajesh, ”Edge Detection Techniques forImage Segmentation - A Survey of Soft Computing Approaches”,International Journal of Recent Trends in Engineering, Vol.1, No.2, May2009, pp.250-254.[6] N. Senthilkumaran and R. Rajesh, ”Edge Detection Techniques for ImageSegmentation - A Survey”, Proceedings of International Conferenceon Managing Next Generation Software Applications, (MNGSA-08),December 2008. pp.749-760.

  24. Image segmentationA Survey of Soft Computing Approaches THANKYOU

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