Counting objects in an image by marker controlled watershed segmentation and thresholding

M. S. Rahman; Md. Rafiqul Islam

doi:10.1109/iadcc.2013.6514407

Counting objects in an image by marker controlled watershed segmentation and thresholding

M. S. Rahman, Md. Rafiqul Islam

School of Computing, Eng & Intel. Sys

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Citations (Scopus)

Abstract

Object counting in an image is one of the major challenges in image processing. Image segmentation is used to segregate similar particles, which helps count the approximate total number of particles. The watershed segmentation technique is considered to be the most efficient technique to solve problems of segregation of contiguous objects. Thresholding technique is needed for counting objects in an image. Counting only with the thresholding technique can give the wrong impression. Using marker controlled watershed segmentation along with thresholding technique gives satisfactory result.

Original language	English
Title of host publication	2013 3rd IEEE International Advance Computing Conference (IACC)
Publisher	IEEE Xplore
Pages	1251-1256
Number of pages	6
ISBN (Electronic)	978-1-4673-4529-3
ISBN (Print)	978-1-4673-4527-9
DOIs	https://doi.org/10.1109/iadcc.2013.6514407
Publication status	Published (in print/issue) - 23 Feb 2013
Event	2013 3rd IEEE International Advance Computing Conference (IACC) - Ghaziabad, India, Ghaziabad, India Duration: 22 Feb 2013 → 23 Feb 2013

Conference

Conference	2013 3rd IEEE International Advance Computing Conference (IACC)
Country/Territory	India
City	Ghaziabad
Period	22/02/13 → 23/02/13

Keywords

Watershed Segmentation
image processing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/iadcc.2013.6514407

Cite this

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title = "Counting objects in an image by marker controlled watershed segmentation and thresholding",

abstract = "Object counting in an image is one of the major challenges in image processing. Image segmentation is used to segregate similar particles, which helps count the approximate total number of particles. The watershed segmentation technique is considered to be the most efficient technique to solve problems of segregation of contiguous objects. Thresholding technique is needed for counting objects in an image. Counting only with the thresholding technique can give the wrong impression. Using marker controlled watershed segmentation along with thresholding technique gives satisfactory result.",

keywords = "Watershed Segmentation, image processing",

author = "Rahman, {M. S.} and Islam, {Md. Rafiqul}",

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AU - Islam, Md. Rafiqul

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N2 - Object counting in an image is one of the major challenges in image processing. Image segmentation is used to segregate similar particles, which helps count the approximate total number of particles. The watershed segmentation technique is considered to be the most efficient technique to solve problems of segregation of contiguous objects. Thresholding technique is needed for counting objects in an image. Counting only with the thresholding technique can give the wrong impression. Using marker controlled watershed segmentation along with thresholding technique gives satisfactory result.

AB - Object counting in an image is one of the major challenges in image processing. Image segmentation is used to segregate similar particles, which helps count the approximate total number of particles. The watershed segmentation technique is considered to be the most efficient technique to solve problems of segregation of contiguous objects. Thresholding technique is needed for counting objects in an image. Counting only with the thresholding technique can give the wrong impression. Using marker controlled watershed segmentation along with thresholding technique gives satisfactory result.

KW - Watershed Segmentation

KW - image processing

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DO - 10.1109/iadcc.2013.6514407

M3 - Conference contribution

SN - 978-1-4673-4527-9

SP - 1251

EP - 1256

BT - 2013 3rd IEEE International Advance Computing Conference (IACC)

PB - IEEE Xplore

T2 - 2013 3rd IEEE International Advance Computing Conference (IACC)

Y2 - 22 February 2013 through 23 February 2013

ER -

Counting objects in an image by marker controlled watershed segmentation and thresholding

Abstract

Conference

Keywords

UN SDGs

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