Edges are instant change in intensity value of pixels in the digital image. Image edge detection converts original image in to binary image. This binary image contains information about edges of digital image. Recentl...
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ISBN:
(纸本)9781509015221
Edges are instant change in intensity value of pixels in the digital image. Image edge detection converts original image in to binary image. This binary image contains information about edges of digital image. Recently Ant Colony Optimization Meta-heuristic algorithm is used for the image edge detection. Ant colony optimization algorithm is inspired from the behaviour of real ants. From this ACO based algorithm we get pheromone matrix at end, which contains the information about edge pixels of original image. Discrete wavelet transform is used to decompose original image in for sub-bands. ACO algorithm is separately applied on that four sub-bands and reconstructed image of these four components give better result than single ACO edge detected image. Dual tree complex wavelet transform is advance than discrete wavelet transform. Problems in DWT like overemphasized, distortion and less visible image are removed using DT-CWT with ACO algorithm. It has higher orientation property. K-means clusteringalgorithm and fuzzy C-means algorithms are used to decide whether pixels in image are edge or not. So that proposed algorithms which are ACO + DT-CWT with K-means clusteringalgorithm and fuzzy C-means algorithm, they are able to find all possible edges from image and give better result compared to other edge detection algorithms.
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