250 likes | 435 Views
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
E N D
Digital Image ProcessingQazvin Islamic Azad University Image segmentation A Survey of Soft Computing Approaches Supervisor: Dr.Eftekharimoghadam Presented By : AHMAD GHORBANI
Digital Image ProcessingQazvin Islamic Azad University • Image segmentation • Soft computing • Edge detection • Conclusion Introduction :
Digital Image ProcessingQazvin Islamic Azad University • Image segmentation Introduction …
Image segmentationA Survey of Soft Computing Approaches • Fuzzy based Approach • Genetic Algorithm Approach • Neural Network Approach Soft Computing Approach Original Image
Image segmentationA Survey of Soft Computing Approaches Fuzzy based Approach Using Fuzzy Approach
Genetic Algorithm Approach Image segmentationA Survey of Soft Computing Approaches Using Genetic Algorithm Approach
Neural Network Approach Image segmentationA Survey of Soft Computing Approaches Using Neural Network Approach
Image segmentationA Survey of Soft Computing Approaches Edge Detection For Image Segmentation
Image segmentationA Survey of Soft Computing Approaches Type of Edges (a) Step Edge (b) Ramp Edge (c) Line Edge (d)Roof Edge
Image segmentationA Survey of Soft Computing Approaches Steps in Edge Detection • Filtering • Enhancement • Detection
Image segmentationA Survey of Soft Computing Approaches Some common types of noise • Salt and pepper noise • Impulse noise • Gaussian noise:
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:
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
Image segmentationA Survey of Soft Computing Approaches soft computing approaches to edge detection • Fuzzy based Approach • Genetic Algorithm based approach • Neural Network based Approach
Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Original Image
Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Prewitt Method
Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Roberts Method
Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Sobel Method
Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Fuzzy Method
Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Genetic algorithm Method
Comparison of Edge Detection Methods Image segmentationA Survey of Soft Computing Approaches Using Neural Network Method
Conclusion … Image segmentationA Survey of Soft Computing Approaches
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.
Image segmentationA Survey of Soft Computing Approaches THANKYOU