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Analysis of Various Color Models for Endoscopic Images
Published in J. Dinesh Peter, Steven Lawrence Fernandes, Carlos Eduardo Thomaz, Advances in Computerized Analysis in Clinical and Medical Imaging, 2019
Caren Babu, Anand Paul, D. Abraham Chandy
In addition, we have also evaluated the skewness, the third standardized moment of the endoscopic dataset for better analyzing the images [22] as in (20.24). The skewness is the measure of symmetry and describes how pixel values are distributed. The darker pixels tend to be positively skewed than the lighter ones in an image.
Noise classification and automatic restoration system using non-local regularization frameworks
Published in The Imaging Science Journal, 2018
I. P. Febin, P. Jidesh, A. A. Bini
Skewness is the measure of asymmetry [28]; it is the third central standardized moment which is also known as first Pearson's coefficient. Skewness of random variable x can be defined as where μ represents mean, E is the expectation operator and σ represents the standard deviation. According to the asymmetry, one distribution can be positively skewed or negatively skewed. Negative skew indicates the long left side tail. Similarly, positive skew indicates that the right side tail is longer. For positive skewness, median and mean of the distribution will appear on the right side of themode, whereas for negative skewness it will be on the left side of the mode.
Optimized Deep Ensemble Technique for Malicious Behavior Classification in Cloud
Published in Cybernetics and Systems, 2023
V. Murali Mohan, Sukhvinder Singh, Pramod Pandurang Jadhav
Standardized Moment: In probability theory and statistics, a standardized moment of a probability distribution is a normalized moment (often a higher degree central moment). The moment is scale-invariant because of the normalization, which appears to be a distinction made by a standard deviation term. The standardized moment is calculated mathematically using Eq. (13).
Numerical and experimental investigations on drag-reducing effects of riblets
Published in Engineering Applications of Computational Fluid Mechanics, 2021
Chaoqun Li, Shuo Tang, Yi Li, Zihai Geng
In this section, skewness factors and flatness factors of the velocity fluctuations are computed. The skewness and flatness are the third standardized moment and the fourth moment according to Pope (2000). The skewness and flatness factors of the three components (streamwise, normal, spanwise) in global coordinates are demonstrated in Figures 10 and 11, respectively.