Abstract Salient Object Detection (SOD) in natural images is an active research area with
burgeoning applications across diverse disciplines such as object recognition, image …

In this paper, we propose a novel segmentation approach for stereo images using the high-
order energy optimization, which utilizes the disparity maps and statistical information of …

This article aims at flying target detection and localization of a fixed-wing unmanned aerial
vehicle (UAV) autonomous take-off and landing within Global Navigation Satellite System …

Optical coherence tomography (OCT) imaging has become a standard diagnostic tool in
ophthalmology, providing essential information associated with various eye diseases. In …

Edge based active contour models are adequate to some extent in segmenting images with
intensity inhomogeneity but often fail when applied to images with poorly defined or noisy …

Since image background is normally composed of congenial regions, it can be represented
by a feature dictionary via sparse representation. Based on this theory, the authors propose …

This paper presents a method for image segmentation and object detection. The proposed
strategy consists of two major stages. The first one corresponds to image segmentation …

The active contour model is a comprehensive research technique used for salient object
detection. Most active contour models of saliency detection are developed in the context of …

This paper presents a novel two-stage unsupervised method using Active Contour Model
(ACM) and Fuzzy C-mean (FCM) for image segmentation and object detection. In the first …

La segmentation d'image est le problème de partitionnement d'une image en différentes
sous-régions sur la base d'une caractéristique préférée. La segmentation est un domaine de …