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All Journal Jurnal Ilmu Komputer dan Informasi Strength : Jurnal Penelitian Teknik Mesin
Gigih Prasetyo
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Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Jurnal Ilmu Komputer dan Informasi

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MULTITHRESHOLDING IN GRAYSCALE IMAGE USING PEA FINDING APPROACH AND HIERARCHICAL CLUSTER ANALYSIS Cahyono Cahyono; Gigih Prasetyo; Adrianus Yoza; Ramadhan Hani
Jurnal Ilmu Komputer dan Informasi Vol 7, No 2 (2014): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.42 KB) | DOI: 10.21609/jiki.v7i2.261

Abstract

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.
Co-Authors Adrianus Yoza Aji Prasetyo, Aji Bastian Putra, Ilham Cahyono Cahyono Joni Arif Ramadhan Hani Syarifatunnajah, Syifa