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Detection of Edges Using Mathematical Morphology for X-Ray Images


Affiliations
1 Punjabi University(UCOE), Patiala, India
 

Detection of edge is a terminology in image processing and computer vision particularly in the areas of feature detection and extraction to refer to the algorithms which aims at identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. The need of edge detection is to find the discontinuities in depth, discontinuities in surface orientation, changes in material properties and variations in scene illumination. Mathematical morphology is a new technique for edge detection .It is a theory and technique for analysis and processing of geometrical structures, based on set theory. In this paper square type structuring element of different size is implemented on different image. The noise can also be suppressed by mathematical morphology. So by using mathematical morphology the image can be enhanced and the edges can be detected.

Keywords

Mathematical Morphology, Edge Detection, X-Ray Images, Erosion, Dilation.
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  • Detection of Edges Using Mathematical Morphology for X-Ray Images

Abstract Views: 208  |  PDF Views: 4

Authors

Reecha Sharma
Punjabi University(UCOE), Patiala, India
Beant Kaur
Punjabi University(UCOE), Patiala, India

Abstract


Detection of edge is a terminology in image processing and computer vision particularly in the areas of feature detection and extraction to refer to the algorithms which aims at identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. The need of edge detection is to find the discontinuities in depth, discontinuities in surface orientation, changes in material properties and variations in scene illumination. Mathematical morphology is a new technique for edge detection .It is a theory and technique for analysis and processing of geometrical structures, based on set theory. In this paper square type structuring element of different size is implemented on different image. The noise can also be suppressed by mathematical morphology. So by using mathematical morphology the image can be enhanced and the edges can be detected.

Keywords


Mathematical Morphology, Edge Detection, X-Ray Images, Erosion, Dilation.