In this paper, an efficient approach for extracting semantic object using artificial bee colony algorithm(ABCA) has been proposed. First, we reduce speckle noise in the image. Then fitness function of ABC algorithm is...
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In this paper, an efficient approach for extracting semantic object using artificial bee colony algorithm(ABCA) has been proposed. First, we reduce speckle noise in the image. Then fitness function of ABC algorithm is constructed, and image pixels are classified into different regions. Further semantic objects are extracted in terms of color information. The simulation results show that the color clustering via beecolonyalgorithm gives superior results in enhancing cluster compactness.
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