This paper presents a new method for automatic radio spectrum segmentation. Spectrum segmentation serves as a first step to identify the subbands that are in use at a certain time, when a wide portion ...

Python toolbox for the scale-space histogram segmentation This toolbox implements the algorithm described in J.Gilles, K.Heal, "A parameterless scale-space approach to find meaningful modes in ...

Data segmentation and categorization – Group data into meaningful categories efficiently. In conclusion, Histogram Charts in Excel are an invaluable tool for anyone looking to gain a deeper ...

Abstract: In this work, we propose a method to segment a 1-D histogram without a priori assumptions about the underlying density function. Our approach considers a rigorous definition of an admissible ...

Keywords: Meibomian gland, segmentation, histogram, image, model performance Citation: Deng X, Tian L, Zhang Y, Li A, Cai S, Zhou Y and Jie Y (2022) Is histogram manipulation always beneficial when ...

Background: The brain magnetic resonance imaging (MRI) image segmentation method mainly refers to the division of brain tissue, which can be divided into tissue parts such as white matter (WM), gray ...

Mahbubur Rahman, M.D. (2012) Unsupervised Natural Image Segmentation Using Mean Histogram Features. Journal of Multimedia, 7, 332-340.

Simple average is ok but histograms of your CPC data can help to better understand outlier data points. This is part one of a three-part series about Bing's data distribution tools.