Earticle

초록

영어

Edge detection has been a popular practice in image processing and computer vision applications. Many image processing applications require the discovery of edge details in the gray or color images as a beginning stage of an image processing, vision and understanding. Generally, edge detection on grayscale images is not affluent enough to explain intensity changes. Therefore, we can use color edge information as an important method. Because the result is different when input images are color images or not (grayscale images). The main purpose of the proposed edge detection is to discern significant parts from the normal features in a given image. We assume that intensity varies rapidly in a significant part. There are many color spaces such as RGB, YIQ, and HSV (Hue, Saturation, and Value). In this paper, we conducted edge detection on each color spaces and compared the results. Simulation results show that the HSV color space gives the best detection performance.

목차

Abstract
 1. Introduction
 2. Color Channels for Edge Detection
 3. Existing Edge Detection Algorithm
 4. Simulation Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Gwanggil Jeon [ Department of Embedded Systems Engineering, Incheon National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605