Search
Now showing items 1-10 of 6500
PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms
(Springer, 2019-11-01)
Extracting elements of interest from video frames is a necessary task in many applications, such as those that require replacing the original background. Quality assessment of foreground extraction algorithms is essential ...
Watershed from propagated markers: An interactive method to morphological object segmentation in image sequences
(Elsevier Science BvAmsterdamHolanda, 2010)
Automatic segmentation of latent fingerprints
(2012-12-01)
Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting ...
Automatic segmentation of latent fingerprints
(2012-12-01)
Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting ...
An adjustable error measure for image segmentation evaluation
(Universidade Federal da Bahia - UFBAIntelligent Vision Research Lab – iVisionSalvador, 2015-08)
Due to the subjective nature of the segmentation process, quantitative evaluation of image segmentation methods is still a difficult task. Humans perceive image objects in different ways. Consequently, human segmentations ...
Can the Use of nonlinear Color Metrics systematically improve Segmentation?
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2018)
User-steered image segmentation paradigms: Live wire and live lane
(Academic Press IncSan DiegoEUA, 1998)
Market segmentation under the choice modelling framework
(Universidad del Desarrollo. Facultad de Economía y Negocios, 2021)
This thesis examines market segmentation from an economic perspective by drawing on the choice modelling framework. The market segmentation literature focuses on providing information to marketers about customers, especially ...
Building networks for image segmentation using particle competition and cooperation
(2017-01-01)
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected ...