The gray level change between any two regions is described as an edge. This change is spread out among a lot of pixels. There are algorithms which can be used to detect edges. Some of them are designed in such a way that they can detect straight visible edges. Also, there were algorithms whose settings can detect partial edges. But it is very difficult to design an algorithm, which could detect partial edges and also correct edges. At the same time the algorithm should also have a setting to manage hidden edges. Multiple ant colony approach is a best method to get a good solution. This will be possible due to the cohabitation of various colonies. The activities of ant colonies that are coordinated by an interaction on the colony level is th...
1st International Conference on Computational Collective Intelligence: Semantic Web, Social Networks...
Edge detection is a crucial phenomenon in image segmentation. In general, kernel based methods like ...
Edges contain important information in image and edge detection can be considered a low level proces...
[[abstract]]Edge detection is a technique for marking sharp intensity changes, and is important in f...
Abstract:- Ant colony optimization (ACO) is a population-based metaheuristic that mimics the foragin...
Includes bibliographical references (p. 48-49).Ant colony optimization (ACO) is an optimization algo...
Abstract: ACO is introduced to think about the image edge detection issues where the purpose is to e...
Abstract--The social insect allegory for working out problems has become a promising area in the rec...
This paper reports research into representing edge detectors, with the help of swarm intelligence [1...
We propose a method for edge detection in images with multiplicative noise based on Ant Colony Syste...
A good edge plot should use continuous thin lines to describe the complete contour of the captured o...
Leaf bone structure has a characteristic that can be used as a reference in digital image processing...
Ant Colony Optimization (ACO) is a nature inspired algorithm for solving optimization problems and ...
Abstract – Edges are the characteristic boundaries of any digital image and are therefore plays a fu...
Edge detection is a crucial phenomenon in image segmentation. In general, kernel based methods like ...
1st International Conference on Computational Collective Intelligence: Semantic Web, Social Networks...
Edge detection is a crucial phenomenon in image segmentation. In general, kernel based methods like ...
Edges contain important information in image and edge detection can be considered a low level proces...
[[abstract]]Edge detection is a technique for marking sharp intensity changes, and is important in f...
Abstract:- Ant colony optimization (ACO) is a population-based metaheuristic that mimics the foragin...
Includes bibliographical references (p. 48-49).Ant colony optimization (ACO) is an optimization algo...
Abstract: ACO is introduced to think about the image edge detection issues where the purpose is to e...
Abstract--The social insect allegory for working out problems has become a promising area in the rec...
This paper reports research into representing edge detectors, with the help of swarm intelligence [1...
We propose a method for edge detection in images with multiplicative noise based on Ant Colony Syste...
A good edge plot should use continuous thin lines to describe the complete contour of the captured o...
Leaf bone structure has a characteristic that can be used as a reference in digital image processing...
Ant Colony Optimization (ACO) is a nature inspired algorithm for solving optimization problems and ...
Abstract – Edges are the characteristic boundaries of any digital image and are therefore plays a fu...
Edge detection is a crucial phenomenon in image segmentation. In general, kernel based methods like ...
1st International Conference on Computational Collective Intelligence: Semantic Web, Social Networks...
Edge detection is a crucial phenomenon in image segmentation. In general, kernel based methods like ...
Edges contain important information in image and edge detection can be considered a low level proces...