IMAGE SEGMENTATION OF YOGYAKARTA BATIK PATTERN USING SEGNET

Irfan Nur Fahrudin; Mutaqin Akbar

doi:10.34288/jri.v8i2.491

Authors

Irfan Nur Fahrudin Universitas Mercu Buana Yogyakarta
Mutaqin Akbar Universitas Mercu Buana Yogyakarta

(*) Corresponding Author

DOI:

https://doi.org/10.34288/jri.v8i2.491

Keywords:

Batik Yogyakarta, Deep Learning, Image Segmentation, Image Processing, SegNet

Abstract

Batik is an Indonesian intangible cultural heritage with high artistic value. However, the complexity of classical Yogyakarta patterns, particularly Parang and Kawung, characterized by intricate structures, color variations, and indistinct boundaries, poses significant challenges for automated image processing. Therefore, image segmentation becomes a crucial step in batik identification and digitalization. This study aims to develop an efficient segmentation model for Yogyakarta batik patterns using a modified SegNet architecture. The dataset comprises 720 RGB images, consisting of 360 Parang pattern images and 360 Kawung pattern images. All images were processed into binary ground truth masks through a combination of K-Means Clustering and morphological operations. The SegNet architecture was modified into three encoder and decoder blocks, employing Conv2DTranspose for upsampling and a sigmoid activation function in the output layer. The model was trained for 50 epochs using the Adam optimizer and binary cross entropy loss function. Based on evaluation on the test dataset, the modified SegNet model achieved strong performance with an accuracy of 91.72%, a mean Intersection over Union of 77.23%, and a mean Dice Coefficient of 87.07%. Visual inspection of the prediction results further confirms the model’s ability to accurately separate pattern regions from the background. These findings demonstrate that the modified SegNet architecture performs well in segmenting Parang and Kawung batik patterns and shows strong potential for supporting future batik recognition and digitalization systems.

Downloads

Download data is not yet available.

References

Abd Manap, Nurulfajar, Lee Xiao Xuan, Koushlendra Kumar Singh, Akbar Sheikh Akbari, and Azma Putra. 2024. “Classification of Malaysian and Indonesian Batik Designs Using Deep Learning Models.” Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 16(4):23–30. doi:10.54554/jtec.2024.16.04.004.

Anastasia Desmeria Br Ginting, Dessy Kartika Sari, Khairunnisa Nasution, Immanuel Hasiholan Siregar, and Imel Fitaloca Tambunan. 2024. “Membaca Bentuk Dan Pola Geometri Dalam Motif Batik Kawung.” Imajinasi : Jurnal Ilmu Pengetahuan, Seni, Dan Teknologi 1(2):75–85. doi:10.62383/imajinasi.v1i2.150.

Annafii, Moch. Nasheh, Oddy Virgantara Putra, Triana Harmini, and Niken Trisnaningrum. 2022. “Segmentasi Semantik Pada Citra Hama Leafblast Menggunakan Unet Dan Optimasi Hyperband.” Prosiding Sains Nasional Dan Teknologi 12(1):453–59. doi:10.36499/psnst.v12i1.7230.

Badrinarayanan, Vijay, Alex Kendall, and Roberto Cipolla. 2017. “SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 39(12):2481–95. doi:10.1109/TPAMI.2016.2644615.

Boly, Subhan Bole, and Mutaqin Akbar. 2024. “Jurnal Restikom : Riset Teknik Informatika Dan Komputer Segmentasi Citra Sel Darah Menggunakan Convolutional Neural Network.” 6(2):390–98. doi:10.52005/restikom.v6i2.336.

Chen, Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, and Daniel Rueckert. 2020. “Deep Learning for Cardiac Image Segmentation: A Review.” Frontiers in Cardiovascular Medicine 7. doi:10.3389/fcvm.2020.00025.

Gede, Dewa, Trika Meranggi, Novanto Yudistira, and Yuita Arum Sari. 2022. INTERNATIONAL JOURNAL ON INFORMATICS VISUALIZATION Journal Homepage : Www.Joiv.Org/Index.Php/Joiv INTERNATIONAL JOURNAL ON INFORMATICS VISUALIZATION Batik Classification Using Convolutional Neural Network with Data Improvements. doi:http://dx.doi.org/10.30630/joiv.6.1.716.

Gygi, Jeremy P., Steven H. Kleinstein, and Leying Guan. 2023. “Predictive Overfitting in Immunological Applications: Pitfalls and Solutions.” Human Vaccines and Immunotherapeutics 19(2). doi:10.1080/21645515.2023.2251830.

Hu, Tianyou, Yancong Deng, Yuwei Deng, and Anmin Ge. 2021. “Fully Convolutional Network Variations and Method on Small Dataset.” 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021 40–46. doi:10.1109/ICCECE51280.2021.9342059.

Kasim, A. A., M. Bakri, A. Hendra, and A. Septriani. 2022. “Spatial and Topology Feature Extraction on Batik Pattern Recognition: A Review.” 16(1):1–7. doi:10.26555/jifo.v116i1.a25415.

Kechris, Christodoulos, Jonathan Dan, Jose Miranda, and David Atienza. 2025. “DC Is All You Need: Describing ReLU from a Signal Processing Standpoint.” doi:10.48550/arXiv.2407.16556.

Mardani, Danis Aditya, Pranowo, and Albertus Joko Santoso. 2020. “Deep Learning for Recognition of Javanese Batik Patterns.” AIP Conference Proceedings 2217:030012. doi:10.1063/5.0000686.

Memon, Mehak Maqbool, Manzoor Ahmed Hashmani, Aisha Zahid Junejo, Syed Sajjad Rizvi, and Kamran Raza. 2022. “Unified DeepLabV3+ for Semi-Dark Image Semantic Segmentation.” Sensors 22(14). doi:10.3390/s22145312.

Minaee, Shervin, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos. 2022. “Image Segmentation Using Deep Learning: A Survey.” IEEE Transactions on Pattern Analysis and Machine Intelligence 44(7):3523–42. doi:10.1109/TPAMI.2021.3059968.

Müller, Dominik, Iñaki Soto-Rey, and Frank Kramer. n.d. TOWARDS A GUIDELINE FOR EVALUATION METRICS IN MEDICAL IMAGE SEGMENTATION. doi:10.48550/arXiv.2202.05273.

Padmo, Amin AM. 2016. SEGMENTASI CITRA BATIK BERDASARKAN FITUR TEKSTUR MENGGUNAKAN METODE FILTER GABOR DAN K-MEANS CLUSTERING #1. Vol. 10. doi:10.26555/JIFO.V10I1.A3349.

Penelitian Multidisiplin, Jurnal, Stevani Precious Vallerie Bagu, Ninna Amadea Tanumihardja, Fakultas Bahasa dan Budaya, and Sejarah Artikel. 2024. “BEGIBUNG: VISUALISASI BATIK PARANG YOGYAKARTA Informasi Artikel.” 2(1):250–58. doi:10.62667/begibung.v2i1.60.

Priya, B. Lakshmi, S. Jayalakshmy, G. Idayachandran, and Sasirekha Kumaran. 2022. “Performance Analysis of Semantic Segmentation Using Optimized CNN Based SegNet.” 1st IEEE International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2022. doi:10.1109/ICSTSN53084.2022.9761293.

Ren, Xiaoyu, Zhongying Deng, Jin Ye, Junjun He, and Dongxu Yang. 2025. “FCN+: Global Receptive Convolution Makes FCN Great Again.” doi:10.48550/arXiv.2303.04589.

Rohmani Taufiqoh, Binti, Ita Nurdevi, Husnul Khotimah, Jalan Letjend Sujono Humardani No, and Kampus Jombor Sukoharjo. 2018. “SENASBASA (Seminar Nasional Bahasa Dan Sastra.” 3. http://researchreport.umm.ac.id/index.php/.

S, Shalini K., Korivi Sravani, and Chrispin Jiji. 2024. “Image Segmentation Using Deep Learning.” www.ijsdr.org.

Saputra, Dwi Erwin, Endang Supriyati, and Tri Listyorini. 2024. “DIGITALISASI BATIK KUDUS DALAM PELESTARIAN BUDAYA DAERAH.” Teknika 9(2):178–84. doi:10.52561/teknika.v9i2.395.

Setiawan, Agung W. 2020. “Image Segmentation Metrics in Skin Lesion: Accuracy, Sensitivity, Specificity, Dice Coefficient, Jaccard Index, and Matthews Correlation Coefficient.” CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020 97–102. doi:10.1109/CENIM51130.2020.9297970.

Stefaron. 2025. “Dataset Batik Keraton.” https://www.kaggle.com/datasets/stefaron/dataset-batik-keraton.

Violeta Vlăsceanu, Giorgiana, Nicolae Tarbă, Mihai-Lucian Voncilă, and Costin Anton Boiangiu. n.d. “BRAIN. Broad Research in Artificial Intelligence and Neuroscience Selecting the Right Metric: A Detailed Study on Image Segmentation Evaluation.” doi:10.70594/brain/15.4/20.

Wang, Guanhua, Olatunji Ruwase, Bing Xie, and Yuxiong He. 2024. “FastPersist: Accelerating Model Checkpointing in Deep Learning.” doi:10.48550/arXiv.2406.13768.

Wang, Jue, Xianfu Wan, Liqing Li, and Jun Wang. 2021. “An Improved DeepLab Model for Clothing Image Segmentation.” 2021 IEEE 4th International Conference on Electronics and Communication Engineering, ICECE 2021 49–54. doi:10.1109/ICECE54449.2021.9674326.

Widayanti, Firda Mutia, and Tri Handayani. 2024. “Nilai Spiritual Manunggaling Kawula Gusti Dalam Motif Batik Kawung.” HUMANIKA 31(2):200–209. doi:10.14710/humanika.v31i2.66404.

Zhang, Chenwei, Wenran Lu, Jiang Wu, Chunhe Ni, and Hongbo Wang. n.d. “Academic Journal of Science and Technology SegNet Network Architecture for Deep Learning Image Segmentation and Its Integrated Applications and Prospects.” doi:10.54097/rfa5x119.