Efficient and improved edge detection via a hysteresis thresholding method
- Authors
- Khan, Sajid; Lee, Dong-Ho; Khan, Muhammad Asif; Gilal, Abdul Rehman; Iqbal, Junaid; Waqas, Ahmad
- Issue Date
- Mar-2020
- Publisher
- INDIAN ACAD SCIENCES
- Keywords
- Edge detection; hysteresis method; low and high thresholds; noise suppression
- Citation
- CURRENT SCIENCE, v.118, no.6, pp.954 - 960
- Indexed
- SCIE
SCOPUS
- Journal Title
- CURRENT SCIENCE
- Volume
- 118
- Number
- 6
- Start Page
- 954
- End Page
- 960
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1211
- DOI
- 10.18520/cs/v118/i6/954-960
- ISSN
- 0011-3891
- Abstract
- Hysteresis thresholding is a popular technique for automatic edge detection. However, calculating reasonably high and low thresholds using an unsupervized method remains an issue. Conventional low and high threshold-linking methods sometimes produce noisy edges and fail to detect some obvious edges. Here, a novel edge detection algorithm is proposed that provides efficient calculation of thresholds, and links edge maps for extraction of the final edge map at low complexity. The proposed method suppresses unwanted noisy edges while efficiently preserving obvious edges. The simulation results show that the proposed method provides better results in terms of performance and computation time. Thus, it can be applied to any feature image analysed by an edge detector.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1211)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.