Various Edge Detection Methods for Foreground Detection?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.2, No. 6)Publication Date: 2013-06-30
Authors : Gurjeet kaur Seerha Rajneet Kaur;
Page : 427-434
Keywords : Edges; gradient; canny; Sobel; prewitt;
Abstract
In this paper, we study different edge detection techniques, edge detection is one of the most commonly used operations in image analysis, and there are probably more algorithms in the literature for enhancing and detecting edges than any other single subject. The goal of edge detection process in a digital image is to determine the frontiers of all represented objects based on automatic processing of the colour or gray level information in each present pixel. An edge is the boundary between an object and the background, and indicates the boundary between overlapping objects. This means that if the edges in an image can be identified accurately, all of the objects can be located and basic properties such as area, perimeter, and shape can be measured. Since computer vision involves the identification and classification of objects in an image, edge detections is an essential tool.
Other Latest Articles
- Design and Fabrication of Meander Line Antennas for WLAN and Dual Band Applications
- Design & Analysis of Computational Features Prediction Model for Heart Disease Diagnosis
- A Study of Manet and Wormhole Attack in Mobile Adhoc Network
- Mitigating Risk Using Puzzle-Based Defense Technique to Improve Confidentiality?
- A Study on the Differential Problems Using Maple?
Last modified: 2013-07-05 02:40:26