Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal Nusantara Journal of Computers and its Applications
Nahya Nur
Department of Informatics, Sepuluh Nopember Institute of Technology (ITS). Jl. Teknik Kimia, ITS Sukolilo, Surabaya, 60111
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
IMAGE THRESHOLDING BASED ON HIERARCHICAL CLUSTERING ANALYSIS AND PERCENTILE METHOD FOR TUNA IMAGE SEGMENTATION Alifia Puspaningrum; Nahya Nur; Ozzy Secio Riza; Agus Zainal Arifin
NJCA (Nusantara Journal of Computers and Its Applications) Vol 2, No 1 (2017): Juni 2017
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v2i1.24

Abstract

Automatic classification of tuna image needs a good segmentation as a main process. Tuna image is taken with textural background and the tuna’s shadow behind the object. This paper proposed a new weighted thresholding method for tuna image segmentation which adapts hierarchical clustering analysisand percentile method. The proposed method considering all part of the image and the several part of the image. It will be used to estimate the object which the proportion has been known. To detect the edge of tuna images, 2D Gabor filter has been implemented to the image. The result image then threshold which the value has been calculated by using HCA and percentile method. The mathematical morphologies are applied into threshold image. In the experimental result, the proposed method can improve the accuracy value up to 20.04%, sensitivity value up to 29.94%, and specificity value up to 17,23% compared to HCA. The result shows that the proposed method cansegment tuna images well and more accurate than hierarchical cluster analysis method.
Co-Authors Agus Zainal Arifin Alifia Puspaningrum Ozzy Secio Riza