Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ant-Based Clustering and Topographic Mapping
Artificial Life
Edge detection using ant algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Image Thresholding Using Ant Colony Optimization
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
An improved matched filter for blood vessel detection of digital retinal images
Computers in Biology and Medicine
Computer Methods and Programs in Biomedicine
Edge detection improvement by ant colony optimization
Pattern Recognition Letters
Improved Image Thresholding Using Ant Colony Optimization Algorithm
ALPIT '08 Proceedings of the 2008 International Conference on Advanced Language Processing and Web Information Technology
Application of a hybrid ant colony optimization for the multilevel thresholding in image processing
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Hybridization of the ant colony optimization with the k-means algorithm for clustering
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Swarm intelligence clustering algorithm based on attractor
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
IEEE Computational Intelligence Magazine
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Information Technology in Biomedicine
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Back-propagation network and its configuration for blood vessel detection in angiograms
IEEE Transactions on Neural Networks
Retinal vessel extraction by matched filter with first-order derivative of Gaussian
Computers in Biology and Medicine
An efficient ant-based edge detector
Transactions on computational collective intelligence I
Retinal vessel extraction using first-order derivative of Gaussian and morphological processing
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Sparse Representation Classifier for microaneurysm detection and retinal blood vessel extraction
Information Sciences: an International Journal
Blood vessel segmentation methodologies in retinal images - A survey
Computer Methods and Programs in Biomedicine
An approach to localize the retinal blood vessels using bit planes and centerline detection
Computer Methods and Programs in Biomedicine
Hardware acceleration of retinal blood vasculature segmentation
Proceedings of the 23rd ACM international conference on Great lakes symposium on VLSI
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Blood vessels in ophthalmoscope images play an important role in diagnosis of some serious pathologies on retinal images. Hence, accurate extraction of vessels is becoming a main topic of this research area. Matched filter (MF) implementation for blood vessel detection is one of the methods giving more accurate results. Using this filter alone might not recover all the vessels (especially the capillaries). In this paper, a novel approach (MF/ant algorithm) is proposed to overcome the deficiency of the MF. The proposed method is a hybrid model of matched filter and ant colony algorithm. In this work, the accuracy and parameters of the hybrid algorithm are also discussed. The proposed method shows its success using the well known reference ophthalmoscope images of DRIVE database.