Recent advances on image edge detection: A comprehensive review
Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …
computer vision and image processing. Edge contours extracted from images are widely …
An overview of edge and object contour detection
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 …
tasks, such as shape matching, visual salience, image segmentation, and object recognition …
A survey of recent advances in visual feature detection
Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …
processing. It is a low-level processing step which serves as the essential part for computer …
Accurate subpixel edge location based on partial area effect
A Trujillo-Pino, K Krissian, M Alemán-Flores… - Image and vision …, 2013 - Elsevier
The estimation of edge features, such as subpixel position, orientation, curvature and
change in intensity at both sides of the edge, from the computation of the gradient vector in …
change in intensity at both sides of the edge, from the computation of the gradient vector in …
Conterminous United States crop field size quantification from multi-temporal Landsat data
Agricultural field size is indicative of the degree of agricultural capital investment,
mechanization and labor intensity, and it is ecologically important. A recently published …
mechanization and labor intensity, and it is ecologically important. A recently published …
UAV photogrammetry-based remote sensing and preliminary assessment of the behavior of a landslide in Guizhou, China
Abstract Unmanned Aerial Vehicle (UAV) technique has been widely utilized in geohazards
assessment. In this work, the effectiveness of the UAV photogrammetry in the remote …
assessment. In this work, the effectiveness of the UAV photogrammetry in the remote …
Enhanced boundary learning for glass-like object segmentation
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 gras** …
Sensing these objects has many applications, including robot navigation and gras** …
An overview of contour detection approaches
XY Gong, H Su, D Xu, ZT Zhang, F Shen… - International Journal of …, 2018 - Springer
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 …
classification. However, the extraction of contour is a difficult task, especially when the …
Improved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correction
AN Benaichouche, H Oulhadj, P Siarry - Digital signal processing, 2013 - Elsevier
In this paper, we propose an improvement method for image segmentation using the fuzzy c-
means clustering algorithm (FCM). This algorithm is widely experimented in the field of …
means clustering algorithm (FCM). This algorithm is widely experimented in the field of …
In situ 3D monitoring of geometric signatures in the powder-bed-fusion additive manufacturing process via vision sensing methods
Lack of monitoring of the in situ process signatures is one of the challenges that has been
restricting the improvement of Powder-Bed-Fusion Additive Manufacturing (PBF AM). Among …
restricting the improvement of Powder-Bed-Fusion Additive Manufacturing (PBF AM). Among …