Building profile extraction from aerial imagery constitutes a key element in numerous
geospatial applications. Rooftop detection has been addressed through a variety of …

Abstract Self Organizing Maps (SOM s) have attracted the attention of many computer vision
scientists, particularly when dealing with image segmentation as a contour extraction …

Most Active Contour Models (ACMs) deal with the image segmentation problem as a
functional optimization problem, as they work on dividing an image into several regions by …

The study investigated a non-invasive and instant method of jaundice detection using
machine vision technique. Color images of sclera region of the eyes of healthy subjects and …

Active contour models are widely used in extracting object boundaries. However, most of
these models usually fail to capture concave boundaries properly and impose high …

Image segmentation is the problem of partitioning an image into different subsets, where
each subset may have a different characterization in terms of color, intensity, texture, and/or …

This chapter discusses a case study that involved a noninvasive and instant disease
detection technique based upon machine vision through the scanning of the eyes of the …

Anomalies in telecommunication networks can be signs of errors or malfunctions, which can
originate from a wide variety of reasons. Huge amount of data collected from network …

Image segmentation is the problem of partitioning an image into different subsets, where
each subset may have a different characterization in terms of color, intensity, texture, and/or …

In this thesis, the problem of three dimensional (3D) reconstruction of building models using
photometric satellite and aerial images is investigated. Here, two systems are presented: 1) …