Results 31 to 40 of about 1,465,159 (304)

A comparative evaluation of interactive segmentation algorithms [PDF]

open access: yes, 2010
In this paper we present a comparative evaluation of four popular interactive segmentation algorithms. The evaluation was carried out as a series of user-experiments, in which participants were tasked with extracting 100 objects from a common dataset: 25
McGuinness, Kevin   +2 more
core   +2 more sources

Region-based segmentation of images using syntactic visual features [PDF]

open access: yes, 2005
This paper presents a robust and efficient method for segmentation of images into large regions that reflect the real world objects present in the scene. We propose an extension to the well known Recursive Shortest Spanning Tree (RSST) algorithm based on
Murphy, Noel   +2 more
core   +2 more sources

QIMERA: a software platform for video object segmentation and tracking [PDF]

open access: yes, 2003
In this paper we present an overview of an ongoing collaborative project in the field of video object segmentation and tracking. The objective of the project is to develop a flexible modular software architecture that can be used as test-bed for ...
Murphy, Noel   +10 more
core   +2 more sources

Image segmentation evaluation using an integrated framework [PDF]

open access: yes, 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

Picture Segmentation by a Tree Traversal Algorithm

open access: yesJournal of the ACM, 1976
In the past, picture segmentation has been performed by merging small primitive regions or by recursively splitting the whole picture. This paper combines the two approaches with significant increase in processing speed while maintaining small memory requirements. The data structure is described in detail and examples of implementations are given.
Steven L. Horowitz, Theodosios Pavlidis
openaire   +2 more sources

Hierarchical Optimization Segmentation and Parameter Extraction of Street Trees Based on Topology Checking and Boundary Analysis from LiDAR Point Clouds

open access: yesSensors
Roadside tree segmentation and parameter extraction play an essential role in completing the virtual simulation of road scenes. Point cloud data of roadside trees collected by LiDAR provide important data support for achieving assisted autonomous driving.
Yuan Kou   +7 more
doaj   +1 more source

Automatic tree crown segmentation using dense forest point clouds from Personal Laser Scanning (PLS)

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Among digital-based technologies to monitor forest ecosystems, personal laser scanning (PLS) has high potential to characterize even complex deciduous and rainforests.
Andreas Tockner   +4 more
doaj   +1 more source

ClassCut for Unsupervised Class Segmentation [PDF]

open access: yes, 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

Hierarchical Models for Image Segmentation: from Color to Texture [PDF]

open access: yes, 2008
Segmentation is a low-level processing aimed at the partition of an image in disjoint regions, each one homogeneous with respect to some properties like intensity, texture, shape, etc.
Gaetano, Raffaele
core   +1 more source

Volumetric texture segmentation by discriminant feature selection and multiresolution classification [PDF]

open access: yes, 2007
In this paper, a multiresolution volumetric texture segmentation (M-VTS) algorithm is presented. The method extracts textural measurements from the Fourier domain of the data via subband filtering using an orientation pyramid (Wilson and Spann, 1988).
Constantino C Reyes Aldasoro (16060949)   +7 more
core   +1 more source

Home - About - Disclaimer - Privacy