English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26988/38789
Visitors : 2356219      Online Users : 25
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50927

Title: Perceptual edge detection via entropy-driven gradient evaluation
Authors: Chun-Shun Tseng
Jung-Hua Wang
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: edge detection
Bayes methods
gradient methods
image resolution
Date: 2016-03
Issue Date: 2018-11-01
Publisher: The Institution of Engineering and Technology .
Abstract: Abstract: This study presents a novel method based on entropy-driven gradient evaluation (P-EdGE) for detecting perceptual edges that represent boundaries of objects as perceived by human eyes. P-EdGE is characterised by iteratively employing a shape-changeable mask centred at a target pixel to sample gradient orientations of neighbouring pixels for measuring the directivity of the target pixel. The mask deforms to automatically cover pixels most suitable for exhibiting the directivity of the target pixel. The authors show that such an iterative scheme satisfies the similarity and proximity laws in Gestalt theory. The converged directivity in conjunction with the gradient magnitude are subjected to a Bayesian process, they show that doing so can help effectively determine whether the target pixel belongs to a perceptual edge. Experimental results are presented to justify the superiority of P-EdGE over other methods in detecting perceptual edges.
Relation: 10(2) pp.163-171
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50927
Appears in Collections:[電機工程學系] 期刊論文

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback