Karakteristik Morfologi Tanaman Selada Menggunakan Pengolahan Citra Digital

Akhmad Fadjeri; Bayu Aji Saputra; Dicki Kusuma Adri Ariyanto; Lisna Kurniatin

doi:10.30646/sinus.v20i2.601

Karakteristik Morfologi Tanaman Selada Menggunakan Pengolahan Citra Digital

Authors

Akhmad Fadjeri Universitas Maarif Nahdlatul Ulama Kebumen http://orcid.org/0000-0003-0195-6883
Bayu Aji Saputra Universitas Maâ€™arif Nahdlatul Ulama Kebumen
Dicki Kusuma Adri Ariyanto Universitas Maâ€™arif Nahdlatul Ulama Kebumen
Lisna Kurniatin Universitas Maâ€™arif Nahdlatul Ulama Kebumen

DOI:

https://doi.org/10.30646/sinus.v20i2.601

Keywords:

Green Lettuce, Digital Image, Morphology, Feature Extraction

Abstract

The aim of this study is to find out characteristics of Green Rapid lettuce with digital image processing using morphological technique on image and first order statistical feature extraction. In digital image processing, the original images were processed to be RGB image and then processed again to be grayscale one. The grayscale images were processed to be biner image so that the image can be changed into biner form (0 and 1). In morphological process, this study used edge detection, dilation, and erosion. The final stage of morphological process used feature extraction process to find out image morphological characteristics which can be described mathematically. The result of extraction showed its samples within range or average area about 9.593.622.205.915.820 pixels, perimeter about 8.427.724.410.694.360 pixels, length about 829.877.174.308.893 pixels, and width about 1.654.002.663.010.820 pixels

Author Biography

Akhmad Fadjeri, Universitas Maarif Nahdlatul Ulama Kebumen

Program Studi Teknik Informatika

Downloads

Published

2022-07-19

How to Cite

Fadjeri, A., Saputra, B. A., Adri Ariyanto, D. K., & Kurniatin, L. (2022). Karakteristik Morfologi Tanaman Selada Menggunakan Pengolahan Citra Digital. Jurnal Ilmiah SINUS, 20(2), 1–12. https://doi.org/10.30646/sinus.v20i2.601

Download Citation

Issue

Vol. 20 No. 2 (2022): Vol. 20 No. 2 Juli 2022

Section

Articles

License

Authors who publish with this journal agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under aÂ Creative Commons Attribution LicenseÂ that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (SeeÂ The Effect of Open Access).

This work is licensed under aÂ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.