2013
DOI: 10.5057/jjske.12.499
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Correlation between the Entropy for a Given Binary Format Image and the Psychological Quantity from Verbal Expression

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Cited by 3 publications
(3 citation statements)
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“…Therefore, we developed an equation that calculates an entropy value based on the sum of the logarithm of distances between proliferating cells. Distances between proliferating cells were caclulated based on the distance between black pixels in a binary image (e.g., monochrome image) following Sato and Suganuma (2013) 46 . The distribution of proliferating cells at the second joint and centre of the second phalanx of the third toe was quantified in the grebe, moorhen, and coot embryos.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, we developed an equation that calculates an entropy value based on the sum of the logarithm of distances between proliferating cells. Distances between proliferating cells were caclulated based on the distance between black pixels in a binary image (e.g., monochrome image) following Sato and Suganuma (2013) 46 . The distribution of proliferating cells at the second joint and centre of the second phalanx of the third toe was quantified in the grebe, moorhen, and coot embryos.…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, there is evidence that objective measures such as Shannon's entropy can be used to correlate subjective evaluations. Such is the case of a study that explored the correlation between the entropy of dot pattern images and several verbal expressions, suggesting that the visual complexity is highly related to the length between dots [12]. On the other hand, studies with more practical applications, especially in design, have used curvature entropy and genetic algorithm to describe shape-generation in curve profiling for automobile profile design, suggesting that the curvature entropy can express the characteristics of the shape in a curve profile at a product level [13].…”
Section: Original Articlementioning
confidence: 99%
“…To analyze the effect of the bubble-bubble interactions and the dispersibility of bubbles on the efficiency, nine cases of the numerical simulations are conducted with changing initial bubble arrangement and the dispersibility from 0.25 to 0.92. Dispersibility is defined by the entropy-based probability of thermodynamic phenomena and entropy is calculated as the sum of the logarithm of the distance from grid to grid where is regarded as a bubble (15). Dispersibility is 1 when bubbles are equally spaced in an initial condition and is 0 when bubbles are concentrated and in contact.…”
Section: Numerical Conditionmentioning
confidence: 99%