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Comparison of Thresholding and Edge Detection Segmentation Techniques
- Source :
- Advanced Materials Research. :2783-2786
- Publication Year :
- 2013
- Publisher :
- Trans Tech Publications, Ltd., 2013.
-
Abstract
- Edge detection and thresholding segmentation algorithms are presented and tested with variety of grayscale images in different fields. In order to analyze and evaluate the quality of image segmentation, Root Mean Square Error is used. The smaller error value is, the better image segmentation effect is. The experimental results show that a segmentation method is not suitable for all images segmentation.
- Subjects :
- Morphological gradient
Computer science
Segmentation-based object categorization
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
General Engineering
Scale-space segmentation
Pattern recognition
Image segmentation
Grayscale
Thresholding
Edge detection
Image texture
Minimum spanning tree-based segmentation
Region growing
Segmentation
Computer vision
Artificial intelligence
Range segmentation
business
Subjects
Details
- ISSN :
- 16628985
- Database :
- OpenAIRE
- Journal :
- Advanced Materials Research
- Accession number :
- edsair.doi...........d20d6b89ae5ec48812027eb41c7dd160
- Full Text :
- https://doi.org/10.4028/www.scientific.net/amr.860-863.2783