ClassCut for Unsupervised Class Segmentation [PDF]
, 2010 We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model.
Bogdan Alexe +5 more
core +1 more source
Image segmentation evaluation using an integrated framework [PDF]
, 2007 In this paper we present a general framework we have developed for running and evaluating automatic image and video segmentation algorithms. This framework was designed to allow effortless integration of existing and forthcoming image segmentation ...
McGuinness, Kevin +3 more
core +2 more sources
Toward automated evaluation of interactive segmentation [PDF]
, 2011 We previously described a system for evaluating interactive segmentation by means of user experiments (McGuinness and O’Connor, 2010). This method, while effective, is time-consuming and labor-intensive.
McGuinness, Kevin +4 more
core +2 more sources
Automatic texture segmentation for content-based image retrieval application [PDF]
, 2006 In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm.
Fauzi, M.F.A. +3 more
core +2 more sources
Image segmentation, evaluation, and applications [PDF]
, 2010 This thesis aims to advance research in image segmentation by developing robust techniques for evaluating image segmentation algorithms. The key contributions of this work are as follows. First, we investigate the characteristics of existing measures for
McGuinness, Kevin
core +2 more sources
A Novel Mouse Segmentation Method Based on Dynamic Contrast Enhanced Micro-CT Images. [PDF]
PLoS ONE, 2017 With the development of hybrid imaging scanners, micro-CT is widely used in locating abnormalities, studying drug metabolism, and providing structural priors to aid image reconstruction in functional imaging.
Dongmei Yan +3 more
doaj +1 more source
Integrated Anomaly Detection and Mitigation in SDN Environments: A Hybrid Approach
ComputersModern network infrastructures are under attack from increasingly sophisticated attacks that static, rule-based defenses cannot adequately mitigate. We introduce a multilayer anomaly detection and mitigation framework for Software-Defined Networking (SDN)
Sherzod Gulomov +5 more
doaj +1 more source
Analysis of Azure Zero Trust Architecture Implementation for Mid-Size Organizations
Journal of Cybersecurity and PrivacyThe Zero Trust Architecture (ZTA) security system follows the “never trust, always verify” principle. The process constantly verifies users and devices trying to access resources.
Vedran Dakić +3 more
doaj +1 more source
Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests
IEEE Access, 2018 Micro-computed tomography (micro-CT) provides an in vivo high-resolution preclinical imaging for murine kidneys. However, due to the relatively low dosage of X-rays, accurate and efficient segmentation of murine kidneys in micro-CT imaging remains ...
Fengjun Zhao +5 more
doaj +1 more source
Four-segmented design method and numerical simulation of LNG micro-channel vaporizer
You-qi chuyun, 2022 Micro-channel vaporizer has the advantages of high heat exchange efficiency, high pressure resistance and compact structure, and has broad application prospect as an LNG vaporizer.
Yan SHEN +4 more
doaj +1 more source