文件名称:Baseedgedetection
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Ant colony optimization is a nature inspired optimization algorithm, that is motivated by the natural foraging behavior of ant species. Ant deposit pheromone on the ground to mark paths between a food source and their colony, which should be followed by other members of the colony. Overtime pheromone trails evaporate. Pheromone densities remain high on shorter paths because pheromone is laid down faster. This positive feedback mechanism eventually leads the ants to follow the shorter paths.
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Baseedgedetection
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.................\compcor2d.m
.................\compFR.m
.................\compMA.m
.................\compute_PearsonCorrelationCoefficient.m
.................\densupress.m
.................\edgeEntropy.m
.................\eme.m
.................\getf.m
.................\getf2d.m
.................\getsigma2d.m
.................\getsigmaz1.m
.................\getth2d.m
.................\image.jpg
.................\imageQualityIndex.m
.................\MAINSGUIRED.asv
.................\MAINSGUIRED.fig
.................\MAINSGUIRED.m
.................\meanAbsoluteError.m
.................\nmsupress2d.m
.................\noisyImageGeneration.m
.................\normf2d.m
.................\SNR.m