Active contours driven by non-local Gaussian distribution fitting energy for image segmentation
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1243-x
Abstract: Image segmentation is still a challenging task in image processing field because of unpredictable noise and intensity inhomogeneity in images. In this paper, we present a novel active contour model for image segmentation by constructing… read more here.
Keywords: contours driven; image; intensity inhomogeneity; image segmentation ... See more keywords
Localized region based active contours with a weakly supervised shape image for inhomogeneous video segmentation of train bogie parts in building an automated train rolling examination
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6896-2
Abstract: Active Contours have been widely acknowledged for providing a dependable solution to complex image segmentation problems which are represented as a functional optimization problem. Inhomogeneous image intensity regions present difficulties for the evolving curve, which… read more here.
Keywords: video; image; segmentation; active contours ... See more keywords
Interactive GPU active contours for segmenting inhomogeneous objects
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-017-0740-1
Abstract: AbstractWe present a segmentation software package primarily targeting medical and biological applications, with a high level of visual feedback and several usability enhancements over existing packages. Specifically, we provide a substantially faster GPU implementation of… read more here.
Keywords: contours segmenting; active contours; segmenting inhomogeneous; inhomogeneous objects ... See more keywords
Semantic Segmentation of Fish and Underwater Environments Using Deep Convolutional Neural Networks and Learned Active Contours
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3262649
Abstract: The conservation of marine resources requires constant monitoring of the underwater environment by researchers. For this purpose, visual automated monitoring systems are of great interest, especially those that can describe the environment using semantic segmentation… read more here.
Keywords: neural networks; underwater environments; convolutional neural; segmentation ... See more keywords
Classification and Localization of Naval Mines With Superellipse Active Contours
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2018.2835218
Abstract: In this paper, an approach for the classification and localization of geometric shapes, e.g., man-made objects or different types of geological features, in sonar images is presented. It is applied to a concrete application case,… read more here.
Keywords: classification localization; active contours; step; image ... See more keywords
Mapping Thermokarst Lakes on the Qinghai–Tibet Plateau Using Nonlocal Active Contours in Chinese GaoFen-2 Multispectral Imagery
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2666787
Abstract: In order to monitor the response of thermokarst lakes on the Qinghai–Tibet Plateau (QTP) to rapid climatic changes and human activities, an automated method for extracting shorelines from Chinese GaoFen-2 (GF-2) imagery is proposed. First,… read more here.
Keywords: imagery; thermokarst lakes; active contours; tibet plateau ... See more keywords
Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.3022693
Abstract: Most existing CNNs-based segmentation methods rely on local appearances learned on the regular image grid, without consideration of the object global information. This article aims to embed the object global geometric information into a learning… read more here.
Keywords: object global; geodesic active; active contours; segmentation ... See more keywords
Deep belief active contours (DBAC) with its application to oil spill segmentation from remotely sensed sea surface imagery
Sign Up to like & getrecommendations! Published in 2018 at "Photogrammetric Engineering and Remote Sensing"
DOI: 10.14358/pers.84.7.451
Abstract: Antennas; Deep neural networks; Marine pollution; Oil spills; Surface waters; Active contour segmentation; Active contours; Hausdorff distance; ITS applications; Object segmentation; Ocean environment; Precision rates; State-of-the-art methods; Image segmentation; algorithm; artificial neural network; contour map;… read more here.
Keywords: oil spill; segmentation; active contours; sea surface ... See more keywords