INTERACTIVE IMAGE SEGMENTATION USING NEIGHBOURHOOD SPATIAL INFORMATION AND STATISTICAL GREY LEVEL

Shabrina Choirunnisa, Shabrina Choirunnisa and Ari Firmanto, Ari Firmanto and Agus Zaenal, Agus Zaenal INTERACTIVE IMAGE SEGMENTATION USING NEIGHBOURHOOD SPATIAL INFORMATION AND STATISTICAL GREY LEVEL. Jurnal Ilmu Komputer dan Informasi, 12 (1). pp. 19-24. ISSN e-ISSN 2502-9274

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Abstract

In dental panoramic radiographs, grey-level intensity information has been widely used for
object segmentation in digital image. However, low contrast in the radiograph image causes
high ambiguity that can cause the inconsistency of classification result. Since the grey-level
intensity of background and object is almost similar, so in order to improve the segmentation
result, the spatial distance on neighbourhood region is applied. In this paper, we proposed a
novel strategy to measure the distance using neighbourhood spatial information and statistical
grey level technique for image segmentation. The proposed method starts by calculating
adjacency matrix and measured spatial distance on neighbourhood region. Since the value of
both distances are not in the same range, then the normalization is needed. The distances
merging is approached by tuning the weight using several constant values. The experiment
results show that our proposed merging strategy has better segmentation result based on
Relative Foreground Area Error value.

Item Type:	Article
Uncontrolled Keywords:	: Dental Panoramic Radiograph, Interactive Image Segmentation, Low Contrast, Spatial Information
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	18 Nov 2022 07:26
Last Modified:	18 Nov 2022 07:26
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1874

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