Edge Detection in Satellite Image Using Cellular Neural Network

Abstract

The present paper proposes a novel approach for edge detection in satellite images based on cellular neural networks. CNN based edge detector in used conjunction with image enhancement and noise removal techniques, in order to deliver accurate edge detection results, compared with state of the art approaches. Thus, considering the obtained results, a comparison with optimal Canny edge detector is performed. The proposed image processing chain deliver more details regarding edges than canny edge detector. The proposed method aims to preserve salient information, due to its importance in all satellite image processing applications.

Authors and Affiliations

Osama Gazi, Dr. Belal

Keywords

Related Articles

The Use of Programming Languages on the Final Project Report by Using Analytical Hierarchy Process (AHP)

The development in information technology provides a lot of convenience for everyone. Academy of Information Management and Computer (AIMC) students of the fourth semester, implementing the Job Training must specify the...

 A Survey of Automated Text Simplification

 Text simplification modifies syntax and lexicon to improve the understandability of language for an end user. This survey identifies and classifies simplification research within the period 1998-2013. Simplificatio...

Novel Adaptive Auto-Correction Technique for Enhanced Fingerprint Recognition

Fingerprints are the most used biometric trait in applications where high level of security is required. Fingerprint image may vary due to various environmental conditions like temperature, humidity, weather etc. Hence,...

Clustering based Max-Min Scheduling in Cloud Environment

Cloud Computing ensures Service Level Agreement (SLA) by provisioning of resources to cloudlets. This provisioning can be achieved through scheduling algorithms that properly maps given tasks considering different heuris...

scaleBF: A High Scalable Membership Filter using 3D Bloom Filter

Bloom Filter is extensively deployed data structure in various applications and research domain since its inception. Bloom Filter is able to reduce the space consumption in an order of magnitude. Thus, Bloom Filter is us...

Download PDF file
  • EP ID EP142391
  • DOI 10.14569/IJACSA.2014.051010#sthash.8PyJQTjV.dpuf
  • Views 83
  • Downloads 0

How To Cite

Osama Gazi, Dr. Belal (2014). Edge Detection in Satellite Image Using Cellular Neural Network. International Journal of Advanced Computer Science & Applications, 5(10), 61-70. https://europub.co.uk/articles/-A-142391