In computer vision, edge and object contour detection is essential for higher-level vision
tasks, such as shape matching, visual salience, image segmentation, and object recognition …

We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

Recent advances in spectral-spatial classification of hyperspectral images are presented in
this paper. Several techniques are investigated for combining both spatial and spectral …

Hyperspectral imaging, which records a detailed spectrum of light for each pixel, provides an
invaluable source of information regarding the physical nature of the different materials …

Glass-like objects such as windows, bottles, and mirrors exist widely in the real world.
Sensing these objects has many applications, including robot navigation and grasping …

We present a learning model that makes full use of boundary information for salient object
segmentation. Specifically, we come up with a novel loss function, ie, Contour Loss, which …

A new multiple-classifier approach for spectral–spatial classification of hyperspectral images
is proposed. Several classifiers are used independently to classify an image. For every pixel …

In this paper, a method for edge detection in digital images based on the morphological
gradient and fuzzy logic is described. A basic method for edge detection was improved …

Automated segmentation of images has been considered an important intermediate
processing task to extract semantic meaning from pixels. In general, the fuzzy c-means …

This paper aims to summarize central findings from a literature review and technical survey
on unmanned aerial vehicle (UAV) techniques for bridge inspection and damage …