Mahalanobis distance is a metric used to compare a vector to a multivariate normal distribution with a given mean vector ($\boldsymbol{\mu}$) and covariance matrix ($\boldsymbol{\Sigma}$). It is often used to detect statistical outliers (e.g., in the RX anomaly detector) and also appears in the exponential term of …

# Anomalously Non-Anomalous Anomaly Detection Results

## The RX Anomaly Detector¶

In image processing, anomaly detectors are algorithms used to detect image pixels that are sufficiently different than other pixels in the same image (or within a local neighborhood of the pixel being evaluated). The RX anomaly detector [1] represents each pixel in an image as a …