Analysis of Shape and Texture Identifying and Detecting Apple Fruit

Authors

  • Mutiana Pratiwi Universitas Putra Indonesia YPTK Padang
  • Ulya Ilhami Arsyah Politeknik Negeri Padang

DOI:

https://doi.org/10.31004/innovative.v5i1.17727

Keywords:

Klasifikasi Kematangan Apel, Algoritma K-Nearest Neighbor (KNN), Fitur Bentuk, Fitur Tekstur, Segmentasi Citra

Abstract

Penelitian ini mengusulkan sebuah sistem untuk mengklasifikasikan tingkat kematangan apel dengan menggunakan metode K-Nearest Neighbor (KNN) berdasarkan fitur bentuk dan tekstur apel. Tujuan dari penelitian ini adalah untuk membantu sistem membedakan antara apel hijau dan apel merah. Proses identifikasi dimulai dengan segmentasi citra menggunakan metode KNN. Hasil segmentasi citra terlebih dahulu diubah menjadi citra biner, kemudian diubah menjadi citra grayscale. Kinerja sistem dicapai dengan mengombinasikan metode KNN dengan ekstraksi fitur citra grayscale. Fitur-fitur yang diekstraksi meliputi nilai metrik sebesar 0,5, eksentrisitas 0,2, kontras 0,1, korelasi 0,9, energi 0,3, dan homogenitas 0,9. Berdasarkan nilai-nilai tersebut, sistem mampu mengidentifikasi apel merah dengan akurat.

References

Chen, Jiaxiang, Jiayuan Fan, Hancheng Ye, Jie Li, Yongbing Liao, and Tao Chen. 2023. “Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation.” IEEE Transactions on Multimedia 25:7337–49. doi: 10.1109/TMM.2022.3221351.

Chen, Kecheng, Tiexin Qin, Victor Ho Fun Lee, Hong Yan, and Haoliang Li. 2024. “Learning Robust Shape Regularization for Generalizable Medical Image Segmentation.” IEEE Transactions on Medical Imaging 43(7):2693–2706. doi: 10.1109/TMI.2024.3371987.

Dela Cruz, Joshua R., Vince Raphael R. Miranda, and Prospero C. Naval. 2024. “Optimizing Rice Disease Classification: A Comparative Study of Different Color, Shape and Texture Features.” International Conference on Cybernetics and Innovations, ICCI 2024 1–6. doi: 10.1109/ICCI60780.2024.10532443.

Dhabliya, Dharmesh, V. J. Vijayalakshmi, Amit Kumar Sharma, Gourav Sood, B. Latha, and Y. R. Meena. 2024. “A Comparative Analysis of Texture Analysis Methods for Image Retrieval.” 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 1–5. doi: 10.1109/ICCCNT61001.2024.10725253.

Dong, Jinda, Fei Xue, Tingting Dong, and Hengliang Tang. 2024. “Research on Apple Recognition and Counting Model Based on Image Processing.” 2024 5th International Conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2024 120–24. doi: 10.1109/ICBASE63199.2024.10762430.

Gisleris, Ervinas, and Arturas Serackis. 2024. “Evaluation and Optimization of Texture Extraction and Reconstruction for 3D Eyewear Modeling from Single RGB Images.” Advances in Information, Electronic and Electrical Engineering - Proceedings of the 11th IEEE Workshop, AIEEE 2024. doi: 10.1109/AIEEE62837.2024.10586597.

Gokhale, Atharva, Ameya Chavan, and Sheetal Sonawane. 2023. “Leveraging ML Techniques for Image-Based Freshness Index Prediction of Fruits and Vegetables.” 2023 International Conference on Emerging Smart Computing and Informatics, ESCI 2023 1–6. doi: 10.1109/ESCI56872.2023.10100260.

Hu, Qingying, Wei Lu, Hui Luo, Dejian Dai, Yingming Deng, and Aiguo Song. 2023. “Noncontact Detection Method for Food Texture Assessment Based on Air Puff Combined With Structured Light Imaging.” IEEE Transactions on Instrumentation and Measurement 72. doi: 10.1109/TIM.2023.3273666.

Khandelwal, Ankit, Aasheesh Shukla, and Mangal Sain. 2023. “A Survey on Automated Disease Diagnosis and Classification of Herbal Plants Using Digital Image Processing.” 2023 6th International Conference on Information Systems and Computer Networks, ISCON 2023 1–5. doi: 10.1109/ISCON57294.2023.10112042.

Lin, Fanzhao, Kexin Bao, Yong Li, Dan Zeng, and Shiming Ge. 2024. “Learning Contrast-Enhanced Shape-Biased Representations for Infrared Small Target Detection.” IEEE Transactions on Image Processing 33:3047–58. doi: 10.1109/TIP.2024.3391011.

Santhoshi, A., and A. Muthukumaravel. 2024. “Texture and Shape-Based Feature Extraction for Colorectal Tumor Segmentation.” 10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024 1:315–20. doi: 10.1109/ICACCS60874.2024.10717222.

Tejawati, Andi, Anindita Septiarini, Andi Pangeran Asdar, Masna Wati, Hamdani Hamdani, Saipul, and Surya Eka Priyatna. 2023. “Batik Pattern Classification Using Decision Tree Based on Color-Texture Features.” 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding 347–52. doi: 10.1109/ICVEE59738.2023.10348243.

Vedanty, Putu Prianka, Made Windu Antara Kesiman, I. Made Gede Sunarya, and I. Gusti Ayu Agung Diatri Indradewi. 2023. “Identification of Leaf Diseases of Medicinal Plants Using K-Nearest Neighbor Based on Color, Texture, and Shape Features.” 2023 10th International Conference on Advanced Informatics: Concept, Theory and Application, ICAICTA 2023 1–6. doi: 10.1109/ICAICTA59291.2023.10390034.

Wang, Fei, Manyu Wang, Han Li, Zongkai Yang, Youbin Song, and Zhihua Chen. 2023. “Video Fog Detection Based on Dynamic Texture Analysis.” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2023-June:1–4. doi: 10.1109/BMSB58369.2023.10211187.

Weldergs, Gebrhans Weldegebriel. 2024. “Orange Fruit Disease Detection and Classification Using AI-Based Techniques.” 2024 International Conference on Information and Communication Technology for Development for Africa (ICT4DA) 108–13. doi: 10.1109/ICT4DA62874.2024.10777141.

Yan, Han, Haijun Zhang, and Zhao Zhang. 2024. “Learning to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework.” IEEE Transactions on Multimedia 26:5615–29. doi: 10.1109/TMM.2023.3338050.

Yang, Xi, Zihan Wang, Ziyu Wei, and Dong Yang. 2023. “SCSP: An Unsupervised Image-to-Image Translation Network Based on Semantic Cooperative Shape Perception.” IEEE Transactions on Multimedia 26:4950–60. doi: 10.1109/TMM.2023.3328176.

Zhang, Yu, Jianqi Chen, Zhenbang Peng, Yi Dang, Zhenwei Shi, and Zhengxia Zou. 2024. “Physical Adversarial Attacks Against Aerial Object Detection With Feature-Aligned Expandable Textures.” IEEE Transactions on Geoscience and Remote Sensing 62:1–15. doi: 10.1109/TGRS.2024.3426272.

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Published

2025-01-31

How to Cite

Pratiwi, M., & Arsyah, U. I. (2025). Analysis of Shape and Texture Identifying and Detecting Apple Fruit. Innovative: Journal Of Social Science Research, 5(1), 3826–3837. https://doi.org/10.31004/innovative.v5i1.17727

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