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An Improved Study on Edge Based Image Segmentation and Subsequent Edge Thinning


Affiliations
1 Electronics and Communication Engineering Department, National Institute of Technology, Agartala P.O., Former Tripura Engineering College, Barjala, Jirania - 799046, Tripura (W), India
 

The improved algorithm for the edge detection and edge thinning has been proposed. The paper presents a newly proposed spatial window of rectangular and row/ column shaped appearance to perform the spatial convolution to obtain the edge and these detectors filters and the results have been compared with those obtained through standard edge detector filters. These are evident from the results obtained in terms of edge detection error rate and in case of noisy environment, Pratt’s figure of merit. The proposed edge thinning method has also yielded better performance compared with the so far results available in published reports.

Keywords

Edge Detection, Edge Detection Error Rate, Edge Thinning, Pratt’s Figure of Merit, Spatial Window.
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  • An Improved Study on Edge Based Image Segmentation and Subsequent Edge Thinning

Abstract Views: 145  |  PDF Views: 0

Authors

Biswajit Pauland
Electronics and Communication Engineering Department, National Institute of Technology, Agartala P.O., Former Tripura Engineering College, Barjala, Jirania - 799046, Tripura (W), India
Dibyendu Ghoshal
Electronics and Communication Engineering Department, National Institute of Technology, Agartala P.O., Former Tripura Engineering College, Barjala, Jirania - 799046, Tripura (W), India

Abstract


The improved algorithm for the edge detection and edge thinning has been proposed. The paper presents a newly proposed spatial window of rectangular and row/ column shaped appearance to perform the spatial convolution to obtain the edge and these detectors filters and the results have been compared with those obtained through standard edge detector filters. These are evident from the results obtained in terms of edge detection error rate and in case of noisy environment, Pratt’s figure of merit. The proposed edge thinning method has also yielded better performance compared with the so far results available in published reports.

Keywords


Edge Detection, Edge Detection Error Rate, Edge Thinning, Pratt’s Figure of Merit, Spatial Window.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i44%2F136723