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Interactive Image Segmentation using Neighborhood Spatial Information and Statistical Grey Level on Dental Panoramic Radiograph

  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 backg...

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Principais autores: Shabrina Choirunnisa, Ari Firmanto, Agus Zaenal
Format: Artigo
Sprog:Inglês
Udgivet: Universitas Indonesia 2019-03-01
Serier:Jurnal Ilmu Komputer dan Informasi
Fag:
Dental Panoramic Radiograph
Interactive Image Segmentation
Low Contrast
Spatial Information
Region Merging
Statistical Analysis
Online adgang:https://jiki.cs.ui.ac.id/index.php/jiki/article/view/622
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