When.com Web Search

Search results

1. Results From The WOW.Com Content Network

2. Image histogram - Wikipedia

   en.wikipedia.org/wiki/Image_histogram

   An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. [1] It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.

3. Histogram - Wikipedia

   en.wikipedia.org/wiki/Histogram

   The total area of a histogram used for probability density is always normalized to 1. If the length of the intervals on the x-axis are all 1, then a histogram is identical to a relative frequency plot. Histograms are sometimes confused with bar charts. In a histogram, each bin is for a different range of values, so altogether the histogram ...

4. File:Histogram example.svg - Wikipedia

   en.wikipedia.org/wiki/File:Histogram_example.svg

   English: Example of histogram. A random sample of 100 observations from the normal distribution N(0,1). ... This file contains additional information, probably added ...

5. Scott's rule - Wikipedia

   en.wikipedia.org/wiki/Scott's_Rule

   Scott's rule is a method to select the number of bins in a histogram. [1] Scott's rule is widely employed in data analysis software including R , [ 2 ] Python [ 3 ] and Microsoft Excel where it is the default bin selection method.

6. Data and information visualization - Wikipedia

   en.wikipedia.org/wiki/Data_and_information...

   The most fundamental data analysis approaches are visualization (histograms, scatter plots, surface plots, tree maps, parallel coordinate plots, etc.), statistics (hypothesis test, regression, PCA, etc.), data mining (association mining, etc.), and machine learning methods (clustering, classification, decision trees, etc.). Among these ...

7. Otsu's method - Wikipedia

   en.wikipedia.org/wiki/Otsu's_method

   Otsu's method performs well when the histogram has a bimodal distribution with a deep and sharp valley between the two peaks. [6] Like all other global thresholding methods, Otsu's method performs badly in case of heavy noise, small objects size, inhomogeneous lighting and larger intra-class than inter-class variance. [7]