Improved Bat Algorithm Applied to Multilevel Image Thresholding
نویسندگان
چکیده
منابع مشابه
Improved Bat Algorithm Applied to Multilevel Image Thresholding
Multilevel image thresholding is a very important image processing technique that is used as a basis for image segmentation and further higher level processing. However, the required computational time for exhaustive search grows exponentially with the number of desired thresholds. Swarm intelligence metaheuristics are well known as successful and efficient optimization methods for intractable ...
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Thresholding is an important approach for image segmentation and it is the first step in the image processing for many applications. Segmentation is a low level operation that can segment an image in nonoverlapping regions. The optimal thresholds are found by maximizing Kapur's entropy-based thresholding function in a grey level image. However, the required CPU time increases exponentially with...
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Thresholding is one of the most widely used image segmentation operations; one application is foreground-background separation. Multilevel thresholding is the extension to segmentation into more than two classes. In order to find the thresholds, which separate the classes, the histogram of the image is analyzed. In most cases, the optimal thresholds are found by the minimazing or maximazing an ...
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Image thresholding is a very common image processing operation, since all image processing schemes need some sort of operation of the pixels into different classes. In order to determine thresholds, most methods analyze the histogram of the image. The optimal thresholds are often found by either minimizing or maximizing an objective function with respect to the values of the thresholds. In this...
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ژورنال
عنوان ژورنال: The Scientific World Journal
سال: 2014
ISSN: 2356-6140,1537-744X
DOI: 10.1155/2014/176718