Skip to main content
Conference Proceedings

Using ant colony optimization for edge detection in gray scale images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 7930 LNCS(PART 1) 323-331
DOI: 10.1007/978-3-642-38637-4_33
3Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Digital image processing is a research topic that has been studied from different perspectives. In this paper we propose an approach based on a paradigm that arises from artificial life; more specifically ant colonies foraging behavior. Ant based algorithms have shown interesting results in a wide variety of situations, including optimization and clustering. In this work we compare different ant colony algorithms on a set of images, for the detection of edges. Results are presented as images, in which ants have built specific solutions, and discussed within an image-processing framework. © 2013 Springer-Verlag.

Author supplied keywords

References Powered by Scopus

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
25231Citations
N/AReaders
Get full text

An ant colony optimization algorithm for image edge detection

2008 IEEE Congress on Evolutionary Computation, CEC 2008
183Citations
N/AReaders
Get full text

Image thresholding using ant colony optimization

Third Canadian Conference on Computer and Robot Vision, CRV 2006
43Citations
N/AReaders
Get full text
View more at Scopus

Cited by Powered by Scopus

A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem

Journal of Computational Electronics
13Citations
N/AReaders
Get full text

MORPED: Monitor rules for proactive error detection based on run-time and historical data

5th International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2014
5Citations
N/AReaders
Get full text

Multi-threading based implementation of Ant-Colony Optimization algorithm for image edge detection

12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015
4Citations
N/AReaders
Get full text
View more at Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Contreras, R., Pinninghoff, M. A., & Ortega, J. (2013). Using ant colony optimization for edge detection in gray scale images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7930 LNCS, pp. 323–331). https://doi.org/10.1007/978-3-642-38637-4_33

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

100%

Readers' Discipline

Tooltip

Computer Science 2

50%

Engineering 2

50%

Save time finding and organizing research with Mendeley

Sign up for free