Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

Many image segmentation techniques are available in the literature. Some of these
techniques use only the gray level histogram, some use spatial details while others use …

SUMMARY A continuous two-dimensional region is partitioned into a fine rectangular array
of sites or “pixels”, each pixel having a particular “colour” belonging to a prescribed finite set …

Nondestructive imaging methods such as X‐ray computed tomography (CT) yield high‐
resolution, three‐dimensional representations of pore space and fluid distribution within …

License plate recognition (LPR) algorithms in images or videos are generally composed of
the following three processing steps: 1) extraction of a license plate region; 2) segmentation …

Image binarization is the process of separation of pixel values into two groups, white as
background and black as foreground. Thresholding plays a major in binarization of images …

A hybrid multidimensional image segmentation algorithm is proposed, which combines
edge and region-based techniques through the morphological algorithm of watersheds. An …

The three‐dimensional geometry and connectivity of pore space controls the hydraulic
transport behavior of crustal rocks. We report on direct measurement of flow‐relevant …

This paper presents a methodology for evaluation of low-level image analysis methods,
using binarization (two-level thresholding) as an example. Binarization of scanned gray …

We consider the problem of segmenting a digitized image consisting of two univariate
populations. Assume a priori knowledge allows incomplete assignment of voxels in the …