In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding...

between classes. The Jenks optimization method is directly related to Otsu's Method and Fisher's Discriminant Analysis. George Frederick Jenks was a 20th-century...

where it is hard to determine the dual-threshold value empirically, Otsu's method can be used on the non-maximum suppressed gradient magnitude image to...

maximum entropy method, balanced histogram thresholding, Otsu's method (maximum variance), and k-means clustering. Recently, methods have been developed...

automatic thresholding methods exist, the most famous and widely used being Otsu's method. Sezgin et al 2004 categorized thresholding methods into broad groups...

multivariate analysis, artificial intelligence, and neurocomputing. Otsu's method, an image binarization technique, is still a standard technique widely...

and would not be extracted by only utilizing threshold method. In this case, before Otsu's method is applied to input image, white top-hat transform should...

distribution. No statistical justification for this value was given. Otsu's method Otsu's method for finding a threshold for separation between two modes relies...

segmentation is probably Otsu's method which assigns pixels to foreground or background based on grayscale intensity. Another method is the watershed algorithm...

batch" samples for data sets that do not fit into memory. Otsu's method Hartigan and Wong's method provides a variation of k-means algorithm which progresses...