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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38164

Title: Significant edge finding in view of human perception
Authors: Chun-Shun Tseng
Kuan-Lin Kuo
Yu-Ting Tsai
Hao-En Lan
Jung-Hua Wang
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: visual perception
Bayes methods
decision making
edge detection
feature extraction
image denoising
Date: 2011
Issue Date: 2016-08-10T01:46:11Z
Publisher: System Integration (SII)
Abstract: Abstract: A novel approach is presented to finding significant edges from noisy images, which is characterized by imitating two abilities of human in qualifying significant edges, namely edge extraction from heterogeneous or homogeneous objects, and to weight on edges with similar directions tending to align along a trajectory. Gradient directions are evaluated on selected pixels via entropy weighting, followed by employing a variable mask to scan the weighting results to identify alignments. Bayesian decision making scheme is used to exploit fine and coarse edge features. Simulation results are provided to show noise resistance and the capability of imitating human visual perception.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38164
Appears in Collections:[電機工程學系] 期刊論文

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