Saliency detection plays important roles in many image processing applications, such as
regions of interest extraction and image resizing. Existing saliency detection models are built …

In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …

One of the most important problems in color image analysis is segmentation. This chapter
considers color uniformity as a relevant criterion to partition an image into significant …

A novel approach to color image segmentation (CIS) in scanned archival topographic maps
of the 19th century is presented. Archival maps provide unique information for GIS-based …

The segmentation of a single material reflectance is a challenging problem due to the
considerable variation in image measurements caused by the geometry of the object …

Coastline extraction techniques from multispectral satellite images are of great interest for
protection and monitoring of coastal areas. In this regard, the Sentinel-2 satellites can give a …

Finding a correlation between image pixel information and non-aqueous phase liquid
(NAPL) saturation is an important issue in bench-scale geo-environmental model studies …

Pore scale analysis of flow through porous media is of interest because it is essential for
understanding internal erosion and piping, among other applications. Past studies have …

Background Recently, digital photography in medicine is considered an acceptable tool in
many clinical domains, eg wound care. Although ever higher resolutions are available …

In this paper, we present a new computer-vision based methodology to address the problem
of remote ice detection and measurement on wind turbines operating in cold climate. Icing …