This paper proves that Otsu threshold is equal to the average of the mean levels of two
classes partitioned by this threshold. Therefore, when the within-class variances of two …

Defects on product surfaces affect quality of the product. Machine vision provides an efficient
tool for the surface defect detection. Threshold is commonly used to separate objects from …

Traditional two-dimensional (2D) Otsu method supposes that the sum of probabilities of
diagonal quadrants in 2D histogram is approximately one. This studies experiments and …

分析Otsu 阈值性质可以为应用和改进Otsu 方法提供理论依据. 证明了Otsu
方法找出的最佳阈值是用该阈值分割出的两类的均值的平均值. 当两类的类内方差差别较大时 …

Image segmentation is a process of portion image into regions. From image segmentation
schemes available, multilevel thresholding on the histogram is a highly established method …

Nature-inspired algorithms emulate the mathematical and innovative techniques for non-
linear and real-life problems worldwide. Imaging technology is emerging out as one of the …

Otsu's binarization method is one of the most popular image-thresholding methods;
Student's t-test is one of the most widely-used statistical tests to compare two groups. This …

Most of the traditional histogram-based thresholding techniques are effective for bi-level
thresholding and unable to consider spatial contextual information of the image for selecting …

Image processing is one of the major research regions in the most recent decades, in which,
image segmentation has gained more popularity due to its enormous applications. Before …

The change-detection problem can be viewed as an unsupervised classification problem
with two classes corresponding to changed and unchanged areas. Image differencing is a …