Date of Award
2016
Publisher
North Dakota State University
Document Type
Master's Paper
Degree Awarded
Master of Science (MS)
Program
Computer Science
Department
Computer Science
College
Engineering
Faculty Advisor
Ludwig, Simone
Description
Glowworm Smarm Optimization (GSO), one of the nature-inspired swarm intelligence algorithms is used for finding solutions to optimization problems. Glowworms emit light to attract its mates and mates choosing the brighter member is the basis for this algorithm. We apply this algorithm in conjunction with traditional multi-threshold image segmentation by Otsu method to arrive at our results. The glowworm selection of mates and the movement of these has been mapped to a scientific algorithm to solve the problem and make multi-level threshold image segmentation a relatively efficient one. This algorithm has been implemented in MATLAB and the results are thus presented.
Recommended Citation
Kasam, Shashi Kanth, "Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation" (2016). Computer Science. 396.
https://digitalcommons.ndsu.edu/computer-sci/396
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/25558