1997
DOI: 10.1016/s0031-3203(96)00065-9
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Threshold selection using Renyi's entropy

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Cited by 394 publications
(164 citation statements)
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“…The segmentation accuracy is verified by the previously justified method [12][13][14]. The advantage of the double-threshold method over other threshold selection methods [15][16][17][18][19][20][21][22] is its better accuracy in segmenting fuzzy images. The advantage of the double-threshold method over the previous angle-edge method [12][13][14] is its better efficiency and all sidedness.…”
Section: Discussionmentioning
confidence: 84%
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“…The segmentation accuracy is verified by the previously justified method [12][13][14]. The advantage of the double-threshold method over other threshold selection methods [15][16][17][18][19][20][21][22] is its better accuracy in segmenting fuzzy images. The advantage of the double-threshold method over the previous angle-edge method [12][13][14] is its better efficiency and all sidedness.…”
Section: Discussionmentioning
confidence: 84%
“…As the most widely used segmentation method for gray-scale images, automatic threshold selection method has been studied extensively in the past decades [15][16][17][18][19][20][21][22]. We choose the most popular ones to segment the enhanced images.…”
Section: Evaluation Of State Of Art Threshold Selection Methodsmentioning
confidence: 99%
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“…The first use of Renyi entropy in image thresholding was introduced by Sahoo et al [50]. Their implementation follows a similar approach of maximum entropy as proposed by Kapur (see equation 11).…”
Section: A Shannon's Entropy Based Thresholdingmentioning
confidence: 99%