Robinson Edge Detector Based On FPGA

Edge detection is one of image enhancement techniques that are used to extract important features from the edges of an image (e.g., corners, lines, curves). The aim of image enhancement is to improve the interpretability of information in images for human viewers, or to provide "better" in...

Full description

Saved in:
Bibliographic Details
Published in:International journal of computer science and information security 2013-08, Vol.11 (8), p.77-77
Main Authors: Al-Mukhtar, Farah Saad, Hasso, Maha Abdul-Rahman
Format: Article
Language:English
Subjects:
Algorithms
Design
Field programmable gate arrays
Mean square errors
Programming languages
Random access memory
Syntax
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Edge detection is one of image enhancement techniques that are used to extract important features from the edges of an image (e.g., corners, lines, curves). The aim of image enhancement is to improve the interpretability of information in images for human viewers, or to provide "better" input for other automated image processing techniques. The proposed work presents Programmable Gate Array (FPGA) based architecture for Edge Detection using Robinson edge detection operator in respect of both time and space complexity. The algorithm are implemented using MATLAB 2010 language code as well as the VHDL language to deal with use of FPGA device, which was of a kind (Xilinx XC3S500E Spartan3E), and it implemented on 8 bit grayscale image data, Robinson edge detection algorithm is produced using the pixel windows (3x3 windows) to calculate its output, make a comparison between the resultant image in MATLAB and VHDL by calculate the Peak Signal-to-Noise Ratio (PNSR), Root Mean Square error (RMSE) and the correlation between resultant images from MATLAB and VHDL. cument. [PUBLICATION ABSTRACT]
ISSN:1947-5500