• Home
•  
• Call for Papers
• Paper Status
• Registration
• Workshops
• Exhibits
•  
• Technical Program
• Side Meetings
• Tutorials
• Plenaries
• Special Sessions
• Panel Sessions
• My Schedule
•  
• Practicalities
• Housing & Venue
• Special Events
• Visits
• Supporters
•  
• Contact / Discussion
• Organizing Committee
• Program Committee
• Review Committee
•  
• Related Conferences

Technical Program

Paper Detail

Paper:	IMDSP-P12.10
Session:	Feature Extraction and Analysis
Time:	Thursday, May 18, 16:30 - 18:30
Presentation:	Poster
Topic:	Image and Multidimensional Signal Processing: Feature Extraction and Analysis
Title:	EDGE DETECTION USING ADAPTIVE LOCAL HISTOGRAM ANALYSIS
Authors:	Magid Khallil, Amar Aggoun, Brunel University, United Kingdom
Abstract:	The objectives of this paper is to present a novel adaptive edge extraction algorithm, based on processing of the local histograms of small non-overlapping blocks of the output of the first derivative of a narrow 2D Gaussian filter. It is shown that the proposed edge extraction algorithm provides the best trade off between noise rejection and accurate edge localisation and resolution. The proposed edge detection algorithm starts by convolving the image with a narrow 2D Gaussian smoothing filter to minimise the edge displacement, and increase the resolution and detectability. Processing of the local histogram of small non-overlapping blocks of the edge map is carried out to perform an additional noise rejection operation and automatically determine the local thresholds.