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Multilevel thresholding has been one of the most popular image segmentation techniques; however, most of these techniques are time-consuming. This paper proposes a cooperative honey bee mating-based algorithm for natural scenery image segmentation using multilevel thresholding (CHBMA) to save computation time while conquering the curse of dimensionality. The characteristics of natural scenery images...
Image segmentation techniques have been widely applied in many fields such as pattern recognition and feature extraction. For the primate visual attention model, the perceptual organization is an important process to automatically extract the desirable features. In this article, we propose a new method called an automatic multilevel thresholding algorithm using the stratified sampling and Tabu Search...
Segmentation is a process to obtain the desirable features in image processing. However, the existing techniques that use the multilevel thresholding method in image segmentation are computationally demanding due to the lack of an automatic parameter selection process. This paper proposes an automatic parameter selection technique called an automatic multilevel thresholding algorithm using stratified...
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