Literature DB >> 18262885

Object matching algorithms using robust Hausdorff distance measures.

D G Sim1, O K Kwon, R H Park.   

Abstract

A Hausdorff distance (HD) is one of commonly used measures for object matching. This work analyzes the conventional HD measures and proposes two robust HD measures based on m-estimation and least trimmed square (LTS) which are more efficient than the conventional HD measures. By computer simulation, the matching performance of the conventional and proposed HD measures is compared with synthetic and real images.

Entities:  

Year:  1999        PMID: 18262885     DOI: 10.1109/83.748897

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


  10 in total

1.  Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape.

Authors:  Brian Hie; Hyunghoon Cho; Benjamin DeMeo; Bryan Bryson; Bonnie Berger
Journal:  Cell Syst       Date:  2019-06-05       Impact factor: 10.304

2.  CT-PET weighted image fusion for separately scanned whole body rat.

Authors:  Jung W Suh; Oh-Kyu Kwon; Dustin Scheinost; Albert J Sinusas; Gary W Cline; Xenophon Papademetris
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

3.  Image Guided Focal Therapy for Magnetic Resonance Imaging Visible Prostate Cancer: Defining a 3-Dimensional Treatment Margin Based on Magnetic Resonance Imaging Histology Co-Registration Analysis.

Authors:  Julien Le Nobin; Andrew B Rosenkrantz; Arnauld Villers; Clément Orczyk; Fang-Ming Deng; Jonathan Melamed; Artem Mikheev; Henry Rusinek; Samir S Taneja
Journal:  J Urol       Date:  2015-02-21       Impact factor: 7.450

4.  WHOLE BODY NONRIGID CT-PET REGISTRATION USING WEIGHTED DEMONS.

Authors:  J W Suh; Oh-K Kwon; D Scheinost; A J Sinusas; Gary W Cline; X Papademetris
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2011-03-30

5.  A novel specific grading standard study of auto-segmentation of organs at risk in thorax: subjective-objective-combined grading standard.

Authors:  Yanchen Ying; Hao Wang; Hua Chen; Jianfan Cheng; Hengle Gu; Yan Shao; Yanhua Duan; Aihui Feng; Wen Feng; Xiaolong Fu; Hong Quan; Zhiyong Xu
Journal:  Biomed Eng Online       Date:  2021-06-03       Impact factor: 2.819

Review 6.  Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.

Authors:  Michael V Sherer; Diana Lin; Sharif Elguindi; Simon Duke; Li-Tee Tan; Jon Cacicedo; Max Dahele; Erin F Gillespie
Journal:  Radiother Oncol       Date:  2021-05-11       Impact factor: 6.901

7.  Feasibility of automated 3-dimensional magnetic resonance imaging pancreas segmentation.

Authors:  Shuiping Gou; Percy Lee; Peng Hu; Jean-Claude Rwigema; Ke Sheng
Journal:  Adv Radiat Oncol       Date:  2016-05-30

8.  Similarity index for intuitive assessment of three-dimensional facial asymmetry.

Authors:  Sun Mi Kwon; Jae Joon Hwang; Yun-Hoa Jung; Bong-Hae Cho; Kee-Joon Lee; Chung-Ju Hwang; Sung-Hwan Choi
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

9.  A deep learning approach for semantic segmentation of unbalanced data in electron tomography of catalytic materials.

Authors:  Arda Genc; Libor Kovarik; Hamish L Fraser
Journal:  Sci Rep       Date:  2022-09-28       Impact factor: 4.996

10.  Practical selection of representative sets of RNA-seq samples using a hierarchical approach.

Authors:  Laura H Tung; Carl Kingsford
Journal:  Bioinformatics       Date:  2021-07-12       Impact factor: 6.937

  10 in total

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