This paper presents data an Ant colony optimization (ACO) based data hiding technique.
ACO is used to detect complex region of cover image and afterward, least significant bits …

To establish the secure communication using image steganography by hiding the
information in cover image, the study focus on image steganography based on Ant Colony …

Ant colony optimization (ACO) is a population-based metaheuristic that mimics the foraging
behavior of ants to find approximate solutions to difficult optimization problems. It can be …

Ant colony optimization (ACO) is the algorithm that has inspired from natural behavior of ants
life, which the ants leaved pheromone to search food on the ground. In this paper, ACO is …

The paper describes the implementation of a watermarking embedding and retrieval
technique using a conceptual approach of bio-inspired algorithm eg ant colony optimization …

Ant colony optimization (ACO) is an optimization algorithm inspired by the natural behavior
of ant species that ants deposit pheromone on the ground for foraging. In this paper, ACO is …

A new approach for edge detection is presented in this paper using fuzzy derivative and Ant
Colony Optimization (ACO) algorithm to reduce the discontinuities presented in the image …

Edge detection is an important step for finding the discontinuities of images and detecting
the boundaries of objects. This work presents a novel algorithm for image edge detection …

ACO is introduced to think about the image edge detection issues where the purpose is to
evolve the edge information existing in the picture, since it is critical to understand the …

Ant colony optimization (ACO) is an optimization algorithm inspired by the natural collective
behavior of ant species. The ACO technique is exploited in this paper to develop a novel …