Detection of Leucocytes in Microscopic Images with Swarm Intelligence Algorithm

A Swarm Intelligence inspired algorithm for contour detection in images

Swarm Intelligence uses a set of agents which are able to move and gather local information in a search space and utilize communication, limited memory, and intelligence for problem solving. In this work, we present an agent-based algorithm which is specifically tailored to detect contours in images. Following a novel movement and communication scheme, the agents are able to position themselves...

Hoc Multicast Routing Algorithm with Swarm Intelligence ∗

Swarm intelligence refers to complex behaviors that arise from very simple individual behaviors and interactions, which is often observed in nature, especially among social insects such as ants. Although each individual (an ant) has little intelligence and simply follows basic rules using local information obtained from the environment, such as ant’s pheromone trail laying and following behavio...

A line detection and description algorithm based on Swarm Intelligence

In this work, we use the principles of Swarm Intelligence to establish a novel algorithm for detecting and describing straight edges in images. The algorithm uses a set of individual mobile agents with limited cognitive possibilities. Using their memory and communication abilities, the agents can establish fast and robust solutions. The agents initially move randomly in a two dimensional space ...

Face Detection using Swarm Intelligence

A Novel Method for Edge Detection of a Color Image with ACO algorithm in Swarm Intelligence

Edge detection is the most important task in image processing. It detects the presence and location of edges from an image having sharp changes in brightness or color intensity of an image. There are various techniques present for edge detection but the newer technique, Ant Colony Optimization is introduced here. Primarily ACO is used to detect edges of ray scale image but here an attempt is ma...