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 …

Object contour plays an important role in fields such as semantic segmentation and image
classification. However, the extraction of contour is a difficult task, especially when the …

The human vision is usually considered a multiscale, hierarchical knowledge extraction
system. Inspired by this fact, multiscale techniques for computer vision perform a sequential …

Brightness and color are two basic visual features integrated by the human visual system
(HVS) to gain a better understanding of color natural scenes. Aiming to combine these two …

Background Anterior segment optical coherence tomography (AS-OCT) constitutes an
important imaging modality to examine the anterior eye, which is commonly used in …

To effectively perform visual tasks like detecting contours, the visual system normally needs
to integrate multiple visual features. Sufficient physiological studies have revealed that for a …

Visual content is often better communicated by simplified or exaggerated images than by
the" real world like" images. In this paper, we offer a tool for creating such enhanced …

Color information plays an important role in better understanding of natural scenes by at
least facilitating discriminating boundaries of objects or areas. In this study, we propose a …

It is known that the human visual system performs a hierarchical information process in
which early vision cues (or primitives) are fused in the visual cortex to compose complex …