CSPC: A New Approach for Edge Detection of Gray-Scale Images

Kalyan Kumar Jena

International Journal of Distributed Computing and Technology

CSPC: A New Approach for Edge Detection of Gray-Scale Images

Kalyan Kumar Jena

Abstract

We can define an edge of an image as a set of connected pixels that creates boundaries of several objects in an image. Generally, Edge detection is a process of segmenting an image into regions of discontinuity. Edge detection takes a greater role in digital image processing as well as practical aspects of our life.Edges of an image can begenerated by implementingseveral edge detector mechanisms.In this paper, anew edge detectionmechanismthat computes edges of different images using the quantitative combination of Canny-Sobel-Prewitt-Canny (C-S-P-C) edge detectors is presented.Here the proposed methodology is compared with Canny, Sobel and Prewitt edge detectors separately.

Full text

The full text of this article is available to subscribers.

On a subscribing campus you are let in by network address, with no login at all.

One-off purchase. Permanent access to this article, no account needed.

A year of online access to every article in International Journal of Distributed Computing and Technology. Or choose several journals →

Article details

CSPC: A New Approach for Edge Detection of Gray-Scale Images

Abstract

Read more of it

Publish your article

Abstract

Related articles

Integrating Machine Learning with Edge Computing for Real Time Data Analytics

AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability

Green Computing Strategies for Reducing Energy Consumption and E-Waste in Modern IT Ecosystems

Toward Sustainable Intelligence: A Framework for Green AI Adoption

A Study on Securing the Local Area Network with the Immutable Trust of Blockchain

Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models

Read more of it

Publish your article