MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS

MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS

Abstract Image segmentation is typically used to distinguish objects that exist in an image. However, it remains difficult to accommodate favourable thresholding in multimodal image histogram problem with specifically desired number of thresholds. This research proposes a novel approach to find t...

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Main Authors: Cahyono Cahyono, Gigih Prasetyo, Adrianus Yoza, Ramadhan Hani
Format: Article
Language:English
Published: Universitas Indonesia 2014-08-01
Series:Jurnal Ilmu Komputer dan Informasi
Online Access:http://jiki.cs.ui.ac.id/index.php/jiki/article/view/261
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spelling doaj-4e42b65b5a8a4879afa4be2caf88f2342020-11-24T22:15:41ZengUniversitas IndonesiaJurnal Ilmu Komputer dan Informasi2088-70512502-92742014-08-0172838910.21609/jiki.v7i2.261190MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSISCahyono CahyonoGigih PrasetyoAdrianus YozaRamadhan HaniAbstract Image segmentation is typically used to distinguish objects that exist in an image. However, it remains difficult to accommodate favourable thresholding in multimodal image histogram problem with specifically desired number of thresholds. This research proposes a novel approach to find thresholds in multimodal grayscale image histogram. This method consists of histogram smoothing, identification of peak(s) and valley(s), and merging process using hierarchical cluster analysis. Using five images that consisted of grayscale and converted-to-grayscale images. This method yields maximum value of accuracy, precision, and recall of 99.93%, 99.75%, and 99.75% respectively. These results are better than the similar peak finding method in multimodal grayscale image segmentation.http://jiki.cs.ui.ac.id/index.php/jiki/article/view/261
collection DOAJ
language English
format Article
sources DOAJ
author Cahyono Cahyono
Gigih Prasetyo
Adrianus Yoza
Ramadhan Hani
spellingShingle Cahyono Cahyono
Gigih Prasetyo
Adrianus Yoza
Ramadhan Hani
MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS
Jurnal Ilmu Komputer dan Informasi
author_facet Cahyono Cahyono
Gigih Prasetyo
Adrianus Yoza
Ramadhan Hani
author_sort Cahyono Cahyono
title MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS
title_short MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS
title_full MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS
title_fullStr MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS
title_full_unstemmed MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS
title_sort multithresholding in grayscale image using pea finding approach and hierarchical cluster analysis
publisher Universitas Indonesia
series Jurnal Ilmu Komputer dan Informasi
issn 2088-7051
2502-9274
publishDate 2014-08-01
description Abstract Image segmentation is typically used to distinguish objects that exist in an image. However, it remains difficult to accommodate favourable thresholding in multimodal image histogram problem with specifically desired number of thresholds. This research proposes a novel approach to find thresholds in multimodal grayscale image histogram. This method consists of histogram smoothing, identification of peak(s) and valley(s), and merging process using hierarchical cluster analysis. Using five images that consisted of grayscale and converted-to-grayscale images. This method yields maximum value of accuracy, precision, and recall of 99.93%, 99.75%, and 99.75% respectively. These results are better than the similar peak finding method in multimodal grayscale image segmentation.
url http://jiki.cs.ui.ac.id/index.php/jiki/article/view/261
work_keys_str_mv AT cahyonocahyono multithresholdingingrayscaleimageusingpeafindingapproachandhierarchicalclusteranalysis
AT gigihprasetyo multithresholdingingrayscaleimageusingpeafindingapproachandhierarchicalclusteranalysis
AT adrianusyoza multithresholdingingrayscaleimageusingpeafindingapproachandhierarchicalclusteranalysis
AT ramadhanhani multithresholdingingrayscaleimageusingpeafindingapproachandhierarchicalclusteranalysis
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