15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
Document Details
Document Type
:
Article In Conference
Document Title
:
Efficiency Measurement of Various Denoise Techniques for Moving Object Detection Using Aerial Images
Efficiency Measurement of Various Denoise Techniques for Moving Object Detection Using Aerial Images
Subject
:
Computer Science
Document Language
:
English
Abstract
:
Noise reduction from aerial images is considered an image restoration mechanism in which it attempts to recover image from a degraded image. Denoising image is considered as the key factor for minimizing the functionality for piecewise smooth image intensity. Efficiency of various denoising techniques depends on frame rate and finally computation time for overall object detection mechanism. Moving object detection is the first step of image denoising as well as object detection. This technique uses segmentation, motion detection and feature extraction technique. The main goal of this paper is to compare various noise reduction techniques incorporated with various moving object detection methods along with various features like edges and corners based detection. Experimentation was done based on two parameters frame rate and computation time which initiate to choose the best denoising method for moving object detection.
Conference Name
:
Conference Name: The 5th International Conference on Electrical Engineering and Informatics 2015
Duration
:
From : 10 August 2015 AH - To : 11 August 2015 AH
From : 10 August 2015 AD - To : 11 August 2015 AD
Publishing Year
:
1436 AH
2015 AD
Number Of Pages
:
4
Article Type
:
Article
Conference Place
:
Malaysia
Organizing Body
:
ITB Indonesia and UKM Malaysia
Added Date
:
Tuesday, March 8, 2016
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Anton Satria Prabuwono
Satria Prabuwono, Anton
Researcher
Doctorate
aprabuwono@kau.edu.sa
Files
File Name
Type
Description
38357.pdf
pdf
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