The Fuzzy C Quadratic Shell clustering algorithm and the detection of second-degree curves
Pattern Recognition Letters
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Ant Colony Optimization
Edge detection improvement by ant colony optimization
Pattern Recognition Letters
The possibilistic C-means algorithm: insights and recommendations
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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This paper presents a novel technique to detect irregular shell clusters using an algorithm that is inspired by Ant Colony Optimization (ACO). Till now major work on shell clustering has been based on regular shells using a fuzzy-based technique. However the proposed algorithm can separate irregular shell clusters from the solid clusters very efficiently. The algorithm is tested on seven test images and it is seen to give very good results.