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A Novel Method for Splitting Clumps of Convex Objects Incorporating Image Intensity and Using Rectangular Window-Based Concavity Point-Pair Search

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A Novel Method for Splitting Clumps of Convex Objects Incorporating Image Intensity and Using Rectangular Window-Based Concavity Point-Pair Search. / Farhan, Muham; Yli-Harja, Olli; Niemistö, Antti.

In: Pattern Recognition, Vol. 46, No. 3, 2013, p. 741-751.

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@article{9b0d8f6d786249c5b7a877006a52984f,
title = "A Novel Method for Splitting Clumps of Convex Objects Incorporating Image Intensity and Using Rectangular Window-Based Concavity Point-Pair Search",
abstract = "A novel nonparametric concavity point analysis-based method for splitting clumps of convex objects in binary images is presented. The method is based on finding concavity point-pairs by using a variable-size rectangular window. The concavity point-pairs can be either connected with a straight split line or with a line that follows a path of minimum or maximum intensity on an accompanying grayscale image. Using straight lines can result in non-smooth contours. Therefore, post-processing steps that remove acute angles between split lines are proposed. Results obtained with images that have clumps of biological cells show that the method gives accurate results.",
author = "Muham Farhan and Olli Yli-Harja and Antti Niemist{\"o}",
note = "Contribution: organisation=sgn,FACT1=1<br/>Portfolio EDEND: 2013-02-27<br/>Publisher name: Pergamon",
year = "2013",
doi = "10.1016/j.patcog.2012.09.008",
language = "English",
volume = "46",
pages = "741--751",
journal = "Pattern Recognition",
issn = "0031-3203",
publisher = "ELSEVIER SCI LTD",
number = "3",

}

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TY - JOUR

T1 - A Novel Method for Splitting Clumps of Convex Objects Incorporating Image Intensity and Using Rectangular Window-Based Concavity Point-Pair Search

AU - Farhan, Muham

AU - Yli-Harja, Olli

AU - Niemistö, Antti

N1 - Contribution: organisation=sgn,FACT1=1<br/>Portfolio EDEND: 2013-02-27<br/>Publisher name: Pergamon

PY - 2013

Y1 - 2013

N2 - A novel nonparametric concavity point analysis-based method for splitting clumps of convex objects in binary images is presented. The method is based on finding concavity point-pairs by using a variable-size rectangular window. The concavity point-pairs can be either connected with a straight split line or with a line that follows a path of minimum or maximum intensity on an accompanying grayscale image. Using straight lines can result in non-smooth contours. Therefore, post-processing steps that remove acute angles between split lines are proposed. Results obtained with images that have clumps of biological cells show that the method gives accurate results.

AB - A novel nonparametric concavity point analysis-based method for splitting clumps of convex objects in binary images is presented. The method is based on finding concavity point-pairs by using a variable-size rectangular window. The concavity point-pairs can be either connected with a straight split line or with a line that follows a path of minimum or maximum intensity on an accompanying grayscale image. Using straight lines can result in non-smooth contours. Therefore, post-processing steps that remove acute angles between split lines are proposed. Results obtained with images that have clumps of biological cells show that the method gives accurate results.

U2 - 10.1016/j.patcog.2012.09.008

DO - 10.1016/j.patcog.2012.09.008

M3 - Article

VL - 46

SP - 741

EP - 751

JO - Pattern Recognition

JF - Pattern Recognition

SN - 0031-3203

IS - 3

ER -