Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness
AbstractThis paper presents a Fuzzy C-Means based image segmentation approach with an optimum threshold using measure of fuzziness. The optimized version, herein denoted as FCM-t, benefits from an...
View ArticleFuzzy C-Means Based Liver CT Image Segmentation with Optimum Number of Clusters
AbstractIn this paper, we investigate the effect of using an optimum number of clusters with Fuzzy C-Means clustering, for Liver CT image segmentation. The optimum number of clusters to be used was...
View ArticleCase Study III: Swarm Robotics
AbstractThe navigation of groups of robots, especially multirobot systems (MRS) or even swarm robots, has been one of the fields that has benefited from biological inspiration (Bonabeau et al.,...
View ArticleCase Study I: Curve Fitting
AbstractCurve fitting may be considered as one of the most traditional problems where one may benefit from optimization methods. However, its real applicability goes way beyond solving theoretical...
View ArticleParticle Swarm Optimization
AbstractBioinspired algorithms have been employed in situations where conventional optimization techniques cannot find a satisfactory solution, for example, when the function to be optimized is...
View ArticleConclusions
AbstractNarrowing down all that was previously presented to a sentence, the focus of this short book was the bottom-up applicability of swarm intelligence to solve multiple different problems, such as...
View ArticleCase Study II: Image Segmentation
AbstractImage segmentation has been investigated as a vital task in a wide variety of applications including (but not limited to): document image analysis for extraction of printed characters; map...
View ArticleFractional-Order Darwinian PSO
AbstractAs presented in Chap. 1, Darwinian particle swarm optimization (DPSO) presented by Tillett et al. (Darwinian particle swarm optimization, 2005) is an evolutionary algorithm that extends the PSO...
View ArticleParticle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT...
AbstractA Fast Fuzzy C-Means (FFCM) clustering algorithm, optimized by the Particle Swarm Optimization (PSO) method, referred to as PSOFFCM, has been introduced and applied on liver CT images. Compared...
View ArticleA Versatile Visual Navigation System for Autonomous Vehicles
AbstractWe present a universal visual navigation method which allows a vehicle to autonomously repeat paths previously taught by a human operator. The method is computationally efficient and does not...
View ArticleRobotics Use Case Scenarios
AbstractArtificial Intelligence (AI) is widely used to accelerate state-of-the-art vision algorithms used in different domains including navigational algorithms, image segmentation, object...
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