Learn about the unimodal histogram and the bimodal histogram and their uses. Read the unimodal definition and see a unimodal and bimodal...
aSecond numerical variable is discrete.[translate] a5) Characterize the shape of your histogram using all of the following that apply: unimodal, bimodal, multimodal, symmetric, bell shaped, triangular, uniform, right skewed or left skewed.[translate]...
There are many methods that have been proposed to provide an appropriate threshold value for an image with an evident bimodal gray-level histogram. Nevertheless, most of these methods can not accurately and efficiently segment an image with a unimodal gray-level distribution. In this study, a ...
Bimodal distributionMost thresholding algorithms have difficulties processing images with unimodal distributions. In this paper an algorithm, based on finding a corner in the histogram plot, is proposed that is capable of performing bilevel thresholding of such images. Its effectiveness is demonstrated on...
A distribution with exactly two modes is called bimodal. 2.2. The Dip-Test for Unimodality In order to decide on the unimodality of a univariate dataset, we use Hartigans’ dip-test [18] which constitutes the most popular unimodality test. Given a 1-d dataset 𝑋={𝑥1,…,𝑥𝑛}X=...