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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Region of Interest Detection for Pregnancy Image Processing M. Khairudin; Joko Laras B T; Dessy Irmawati
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.754 KB) | DOI: 10.11591/eecsi.v4.1022

Abstract

This study discussed on a comparison of three cropping techniques for region of interest (ROI) detection of ultrasonography (USG) image. Ultrasound images are used to provide information about fetal development in the womb. The image generated by the two-dimensional ultrasound has not been able to provide complete information. Therefore, in order get the form of fetus on ultrasound image can be clearly identified with the necessary process of image analysis that can detect the boundaries of objects ROI, so that it can differentiate between one object with another object on the ultrasound image. Comparison results between the ROI detection with cropping methods namely rectanguler, circle and ellipse shapes are expected obtaining the best technique. It can be used in the ultrasound image segmentation process to obtain the best shape of the object of USG image. Based on the available data it can be concluded that the best ROI detection with cropping methods is produced by ellipse shape. The results show that ellipse shape of ROI Detection has the best accuracy compared to other cropping shapes. Based on the results, rectanguler and circle have the similar value. Therefore, MSE of ellipse is lower than rectanguler and circle shapes. 
Co-Authors A. Shah A.R. Husain Abdul Rashid Husain Abdullah Yusoff Adelia Putri Nur Ahni Ahmad Habibullah Ahmad Hoirul Aifaa Husna Asha’ri Amri, Aziezatul Nezirah Anggoro Fajar Dwi U Ariffin, Arihasnida Arihasnida Ariffin Asri Widowati Aziezatul Nezirah Amri Azizah, Safira Rusyda Azman Hasan Azman, M.N.A Azman, Mohamed Nor Azhari Badraningsih Lastariwati Bayu Setiaji Budiastuti, Pramudita Deny Budi Hertanto Dessy Irmawati Didik Hariyanto Dwi Esti Andriani Eko Prasetyo Enjang Akhmad Juanda Fanani Arief Ghozali G.D. Chen Gayuh Titis Permana Gita Juli Hartanti Hamzah, Norhasyimah Haryanto Haryanto Heru Raharjo Idris, Muhammad Ridzuan Imam Ma'arof, Nurul Nazirah Irdayanti Mat Nashir Irdayanti Mat Nashir Irwan Mahazir Ismail Irwan Mahazir Ismail Ismail, Irwan Mahazir Ismail, Mohamad Amiruddin Ismail, Mohd Erfy Istanto Wahyu Djatmiko Jamil Abd Baser Jamil Abd Baser Joko Laras B T Ketut Ima Ismara Khafidh Nur Aziz Khairul Azhar Mat Daud Kiong, Tee Tze Kí¶hler, Thomas Laras B T, Joko Leo Anang Miftahul Huda Lipur Sugiyanta M Noor A Azman M. Luthfi Hakim M.C. Wu Mahmud Arif Maisel Priskila Sisilia Maman Abdurohman Mat Daud, Khairul Azhar Mat Nashir, Irdayanti Mauludin, Moch Subchan Ma’arof, Nurul Nazirah Imam Mentari P Jati Moch Sukardjo Mohamed Nor Azhari Azman Mohammad Lutfi Mohd Erfy Ismail Mohd Erfy Ismail Mohd Hasril Amiruddin Muhamad Iskandar Muhammad Chirzin Muhammad Ridzuan Idris Nashir, Irdayanti Mat Nopadon Maneetien Norhasyimah Hamzah Nugraha, Ariadie Chandra Nurkhamid Nurkhamid Nurlia Sutiani Nurliadin, Nurliadin Nurul Nazirah Imam Ma'arof Nurul Wahidah Pipit Utami Pramono, H. S. Purwoko Haryadi Santoso Putut Hargiyarto R. Asnawi Rafif Apta Reswara Refalda, R. Rendy Mahaputra Retnawati, H. Ridho, R.N. Ridho, R.N. Rustam Asnawi S. Riyanto Shah, A Sigit Yatmono Singgih Dwi Prasetyo Siti Marfu’ah Sudiyatno Sudiyatno Susiwi . Suyanto Suyanto Tee Tze Kiong Triatmaja, A. K. Trisnoaji, Yuki Wiharto Wiharto Wiraguna, Rayie Tariaranie Yasmin Mufidah Yundari, Yundari Yusoff, Abdullah Yusuf Kurniawan Z. Mohamed Z. Mohamed Z. Mohammed Zaharuddin Mohamed