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Ant Colony Optimization (ACO) is used to obtain the edges of an image which is acquired from sampling and quantization of a continuous image. Such techniques generate a pheromone matrix that represents the edge information at each pixel position on the routes formed by ants dispatched on the image. However, when the image is buried in noise, ACO performance(More)
In this paper, a new approach for image edge detection using wavelet based ant colony optimization (ACO) is proposed. The proposed approach applies discrete wavelet transform (DWT) on the image. ACO is applied to the generated four subbands (Approximation, horizontal, vertical, and diagonal) separately for edge detection. After obtaining edges from the 4(More)
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