Abstract
Measuring the wound area in diabetics is still using a manual way with a wound ruler. Whereas the ruler affixed to the wound will become a contaminated agent that can transmit the infection to other recipients. Digital measurement methods are needed to solve the problem. However, clarifying the boundaries between the wound and the skin requires carefulness and high accuracy. For this reason, it has needed an imaging method that can do segmentation between the wound and the skin boundary for diabetic patients based on digital, called digital planimetry. This study uses a masking contour image processing algorithm from the Hue, Saturation, Value (HSV), Then doing iteration five times and gamma filter. So the result of segmentation is formed. This study concludes that the segmentation with this method has not been able to perform the segment properly, and it requires more masking values, but the results of the 5th iteration got a minor error, which is 0.002%. The digital imaging carried out in this study could be developed to be a digital-based diabetic patient wound measurement tool.
Highlights
Measuring the wound area in diabetics is still using a manual way with a wound ruler
Whereas the ruler affixed to the wound will become a contaminated agent that can transmit the infection to other recipients
This study concludes that the segmentation with this method has not been able to perform the segment properly, and it requires more masking values, but the results of the 5th iteration got a minor error, which is 0.002%
Summary
Diabetes adalah salah satu penyakit berbahaya No. yang banyak menyebabkan kematian di Indonesia. Penelitian yang dilakukan [9] menggunakan watershed segmentation dengan teknik flooding dan purning pada luka diabetes mendapatkan hasil akurasi segmentasi paling kecil sebesar 97.85 % dah bahkan pada salah satu gambar terdapat akurasi 100%. Untuk melakukan segmentasi luka agar algoritma dapat membedakan dengan jelas batas kulit dan luka maka digunakan algoritma image processing dengan melakukan seleksi warna luka dari nilai hue, saturation, value (HSV) [10] yang diberikan, kemudian dikonversi menggunakan teknik contour image [11,12,13] sehingga nanti akan dirubah terlebih dahulu menjadi warna hitam putih. Melakukan perhitungan posisi luka dari seleksi nilai warna yang diberikan sebelumnya dan hasil akhir dari teknik segmentasi ini adalah akurasi luas luka dari beberapa nilai HSV yang diberikan sebagai input. Segmentasi warna adalah sebuah proses pendekatan warna yang bekerja dengan menganalisis nilai warna dari tiap pixel dan membagi citra tersebut sesuai fitur yang diinginkan
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
