PENERAPAN FUZZY IF-THEN RULES UNTUK PENINGKATAN KONTRAS PADA CITRA HASIL MAMMOGRAFI

Authors

  • Helmy Thendean Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Tarumanagara
  • Meylina Sugiarto Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Tarumanagara

:

https://doi.org/10.9744/informatika.9.1.1-7

Abstract

In medical area, the quality of an image which is acquired from mammography often has a poor contrast. The poor quality image leads a difficulty for a radiologist to analyze the image. The problem becomes bigger when the image contains a cancer or tumor. There are some methods in image processing technique to increase the contrast quality of an image. This paper presents Fuzzy IF-THEN Rules method which has four knowledge base approaches to increase the contrast quality of the image, especially breast images from mammography. To determine the success rate, this experiment tries to compare this method with a standard contrast improvement such as histogram equalization. The quantity parameters to compare these methods are linier index of fuzziness and fuzzy entropy. The result shows that Fuzzy IF-THEN Rules offers better result to improve the contrast quality than standard method. The result of this experiment is validated by an expert from radiology department from Husada Hospital, Jakarta. Abstract in Bahasa Indonesia : Citra hasil dari mammografi dalam dunia kedokteran sering memiliki kualitas yang buruk dari sisi kontras. Hal ini mengakibatkan kesulitan bagi seorang radiolog untuk menganalisis citra tersebut. Tingkat kesulitan bertambah apabila citra yang harus dianalisis tersebut mengandung kanker atau tumor. Terdapat beberapa metode untuk peningkatan kualitas kontras sebuah citra. Penelitian ini menggunakan metode Fuzzy IF-THEN Rules dengan empat pendekatan basis pengetahuan untuk meningkatkan kualitas kontras citra, khususnya citra payudara yang diperoleh dari hasil mammografi. Untuk menentukan tingkat keberha-silannya, metode tersebut akan dibandingkan dengan metode standar untuk peningkatan kontras seperti Histogram Equalization. Parameter yang digunakan untuk membandingkan setiap metode tersebut adalah linier index of fuzziness dan fuzzy entropy. Hasil percobaan menunjukkan bahwa Fuzzy IF-THEN Rules mampu menghasilkan hasil peningkatan kualitas citra yang lebih baik dibandingkan metode standar. Untuk memperkuat hasil penelitian ini maka dilakukan validasi dengan pakar radiolog dari Rumah Sakit Husada, Jakarta.

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Published

2009-01-20

How to Cite

Thendean, H., & Sugiarto, M. (2009). PENERAPAN FUZZY IF-THEN RULES UNTUK PENINGKATAN KONTRAS PADA CITRA HASIL MAMMOGRAFI. Jurnal Informatika, 9(1), 1-7. https://doi.org/10.9744/informatika.9.1.1-7

Issue

Vol. 9 No. 1 (2008): MAY 2008

Section

Articles

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