What does GHT mean in UNCLASSIFIED

General Hough Transformation (GHT) is a computational method used widely in digital image processing to detect objects or patterns within an image. It uses spatial data such as points, lines, arcs, and curves to determine the location of an object or pattern within an image.

GHT provides a reliable and accurate technique to identify objects under a variety of conditions such as scalability, noise, rotation and translation.

GHT works by extracting the spatial information from each point in the input image into its own reference space which is then processed using algorithms that search for matching patterns among those points. It then compares the extracted spatial information with known models and allows for identification of shapes or patterns in the input image that are similar to those known models.

GHT can be used on binary images (black-and-white images), gray scale images, color images (RGB) images, multispectral images (images from different spectral bands) and radar imagery.

Objects such as edges, corners and straight line segments can all be accurately detected with GHT. It has also been applied successfully for detecting circles, ellipses and other simple geometric shapes in digital images.