Thresholding and fast iso-contour extraction with fuzzy arithmetic
This paper introduces a fast technique to extract, from noisy images, regions whose pixels fall, with a degree of uncertainty, in a prescribed range of values. The method first builds from a digital image a smaller image whose pixels are assigned fuzzy numbers to describe local characteristic of the image and their uncertainty due to noise. This fuzzy picture is subsequently interrogated with a Marching-Cube-like algorithm. It is possible to visualize at once the results obtained using different presumption levels. This simple technique provides the user with cues to the amount of uncertainty of the found results.
iso-contour extraction fuzzy arithmetic marching cubes noisy digital pictures