Literature DB >> 18390366

Snakuscules.

P Thevenaz1, M Unser.   

Abstract

A snakuscule (a minuscule snake) is the simplest active contour that we were able to design while keeping the quintessence of traditional snakes: an energy term governed by the data, and a regularization term. Our construction is an area-based snake, as opposed to curve-based snakes. It is parameterized by just two points, thus further easing requirements on the optimizer. Despite their ultimate simplicity, snakuscules retain enough versatility to be employed for solving various problems such as cell counting and segmentation of approximately circular features. In this paper, we detail the design process of a snakuscule and illustrate its usefulness through practical examples. We claim that our didactic intentions are well served by the simplicity of snakuscules.

Mesh:

Year:  2008        PMID: 18390366     DOI: 10.1109/TIP.2007.914742

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  9 in total

1.  Automatic analysis of normative retinal oximetry images.

Authors:  J R Harish Kumar; Chandra Sekhar Seelamantula; Ashwin Mohan; Rohit Shetty; T J M Berendschot; Carroll A B Webers
Journal:  PLoS One       Date:  2020-05-18       Impact factor: 3.240

2.  Semi-automatic segmentation for prostate interventions.

Authors:  S Sara Mahdavi; Nick Chng; Ingrid Spadinger; William J Morris; Septimiu E Salcudean
Journal:  Med Image Anal       Date:  2010-10-26       Impact factor: 8.545

3.  AUTOMATED CELL COUNTING AND CLUSTER SEGMENTATION USING CONCAVITY DETECTION AND ELLIPSE FITTING TECHNIQUES.

Authors:  Sonal Kothari; Qaiser Chaudry; May D Wang
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2009-08-07

4.  A 2D/3D image analysis system to track fluorescently labeled structures in rod-shaped cells: application to measure spindle pole asymmetry during mitosis.

Authors:  Daniel Schmitter; Paulina Wachowicz; Daniel Sage; Anastasia Chasapi; Ioannis Xenarios; Michael Unser
Journal:  Cell Div       Date:  2013-04-27       Impact factor: 5.130

5.  ATMAD: robust image analysis for Automatic Tissue MicroArray De-arraying.

Authors:  Hoai Nam Nguyen; Vincent Paveau; Cyril Cauchois; Charles Kervrann
Journal:  BMC Bioinformatics       Date:  2018-04-19       Impact factor: 3.169

6.  Three-dimensional GPU-accelerated active contours for automated localization of cells in large images.

Authors:  Mahsa Lotfollahi; Sebastian Berisha; Leila Saadatifard; Laura Montier; Jokūbas Žiburkus; David Mayerich
Journal:  PLoS One       Date:  2019-06-07       Impact factor: 3.240

7.  A single-camera gaze tracking system under natural light.

Authors:  Feng Xiao; Dandan Zheng; Kejie Huang; Yue Qiu; Haibin Shen
Journal:  J Eye Mov Res       Date:  2018-10-20       Impact factor: 0.957

8.  Robust Cell Detection for Large-Scale 3D Microscopy Using GPU-Accelerated Iterative Voting.

Authors:  Leila Saadatifard; Louise C Abbott; Laura Montier; Jokubas Ziburkus; David Mayerich
Journal:  Front Neuroanat       Date:  2018-04-26       Impact factor: 3.856

9.  Cell Type-Specific Arousal-Dependent Modulation of Thalamic Activity in the Lateral Geniculate Nucleus.

Authors:  Benedek Molnár; Péter Sere; Sándor Bordé; Krisztián Koós; Nikolett Zsigri; Péter Horváth; Magor L Lőrincz
Journal:  Cereb Cortex Commun       Date:  2021-03-16
  9 in total

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