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Noise-resilient edge detection algorithm for brain MRI images
- Source :
- 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
- Publication Year :
- 2009
- Publisher :
- IEEE, 2009.
-
Abstract
- In this paper we introduce a noise-resilient edge detection algorithm for brain MRI images. Also, an improved edge detection based on Canny edge detection algorithm is proposed. Computer simulations show that the proposed algorithm is resilient to impulsive noise which makes up for the disadvantages of Canny algorithm, and can detect more edges of MRI brain images effectively. Also, the concept of images fusion is utilized for effective edge detection.
- Subjects :
- Diagnostic Imaging
Computer science
Normal Distribution
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
Edge detection
Image Processing, Computer-Assisted
Medical imaging
Canny edge detector
Humans
Computer Simulation
Computer vision
Image fusion
Models, Statistical
business.industry
Brain
Reproducibility of Results
Image segmentation
Image Enhancement
Magnetic Resonance Imaging
Deriche edge detector
Computer Science::Computer Vision and Pattern Recognition
Noise (video)
Artificial intelligence
Artifacts
business
Algorithms
MathematicsofComputing_DISCRETEMATHEMATICS
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Accession number :
- edsair.doi.dedup.....55c2c4b70d5b4ed7fb9fa250d83c3e47