Journal Article10.1016/J.CVIU.2007.08.003
Image segmentation evaluation: A survey of unsupervised methods
TL;DR: An extensive evaluation of the unsupervised objective evaluation methods that have been proposed in the literature are presented and the advantages and shortcomings of the underlying design mechanisms in these methods are discussed and analyzed.
read more
About: This article is published in Computer Vision and Image Understanding. The article was published on 01 May 2008. The article focuses on the topics: Scale-space segmentation & Image segmentation.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Accounting for the area of polygon sampling units for the prediction of primary accuracy assessment indices
Julien Radoux,Patrick Bogaert +1 more
TL;DR: This paper quantitatively assess the prediction of the primary thematic accuracy indices when the sampling unit is a polygon and proposes a practical solution supported by a theoretical framework that is conditional to the sample dataset.
Virtual mastoidectomy performance evaluation through multi-volume analysis.
Thomas Kerwin,Don Stredney,Gregory J. Wiet,Gregory J. Wiet,Han-Wei Shen +4 more
- 01 Jan 2013
TL;DR: A visualization system that provides surgical instructors with a method to compare the results of many virtual surgeries and provides a promising approach for comparing performance between large groups of residents learning mastoidectomy techniques.
Segmentation of brain tumors in MRI images using three-dimensional active contour without edge
TL;DR: This study proposes an automated method that can identify tumor slices and segment the tumor across all image slices in volumetric MRI brain scans, and achieves an accuracy of 89% ± 4.7% compared with manual processes.
Image segmentation parameter optimization considering within- and between-segment heterogeneity at multiple scale levels: test case for mapping residential areas using Landsat imagery
Brian Alan Johnson,Milben Bragais,Isao Endo,Damasa B. Magcale-Macandog,Paula Beatrice M. Macandog +4 more
TL;DR: Two approaches for extracting residential areas in Landsat 8 imagery were examined, and naive and parameter-optimized segmentation approaches were compared to assess whether unsupervised segmentation parameter optimization (USPO) could improve the extraction of residential areas.
Intelligence Recognition of Clotting Level in Hemodialysis
Tianxiao Wang,Qing Shao,Ran Li,Yimin Li,Nanmei Liu,Hui Yang +5 more
TL;DR: A clotting detection device based on the MS-UNet++ framework, capable of identifying clotting areas and assessing the clotting levels in real time through venous pot images within the hemodialysis circuit is presented.
References
A threshold selection method from gray level histograms
TL;DR: A nonparametric and unsupervised method ofautomatic threshold selection for picture segmentation is presented, whereby an optimal threshold is selected by the discriminant criterion so as to maximize the separability of the resultant classes in gray levels.
44K
•Book
Image Analysis and Mathematical Morphology
Jean Serra
- 11 Feb 1984
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
10.1K
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin,Charless C. Fowlkes,D. Tal,Jitendra Malik +3 more
- 07 Jul 2001
TL;DR: In this paper, the authors present a database containing ground truth segmentations produced by humans for images of a wide variety of natural scenes, and define an error measure which quantifies the consistency between segmentations of differing granularities.
A Database of Human Segmented Natural Images and its Application to
David Martin,Charless C. Fowlkes,Doron Tal,Jitendra Malik +3 more
- 01 Aug 2002
TL;DR: A database containing 'ground truth' segmentations produced by humans for images of a wide variety of natural scenes is presented and an error measure is defined which quantifies the consistency between segmentations of differing granularities.
4.9K
A survey of thresholding techniques
TL;DR: This paper presents a survey of thresholding techniques and attempts to evaluate the performance of some automatic global thresholding methods using the criterion functions such as uniformity and shape measures.
2.9K