Using VIS – NIR imaging for non-intrusive Musa Acuminata banana color changes assessment over a maturity period

Anh Xuan Nguyen; Minh Chau Ta Ngoc; Huu Tai Duong; My Ngoc Nguyen Thi; Quy Tan Ha; Hong Duyen Trinh Tran; Trung Nghia Tran

doi:10.29007/tfqx

Using VIS – NIR imaging for non-intrusive Musa Acuminata banana color changes assessment over a maturity period

10 pages•Published: July 19, 2023

Anh Xuan Nguyen, Minh Chau Ta Ngoc, Huu Tai Duong, My Ngoc Nguyen Thi, Quy Tan Ha, Tran Hong Duyen Trinh and Trung Nghia Tran

Abstract

Bananas are a source of nourishment that is essential for good health. During ripening, the pigment content, starch index and sugar content of banana fruit change, providing accurate indicators for maturity classification. However, at present, banana fruits are traded according to their color stage. The purpose of this study is to visualize analysis banana color changes using a nondestructive method based on multispectral image processing since fruit quality can be assessed quickly, while the fruit being tested is still whole and marketable. This experiment designed a monochromatic camera and a set of four different optical wavelengths in VIS-NIR bands of Blue (465-467nm), Green (522- 525nm), Red (620-625nm) and Near-IR (peak at 940nm) to capture the multispectral images of Musa Acuminata banana. This advanced optical detection technique (multi- spectral imaging) can provide the spectral reflectance of any pixel, combined with the preprocessing of a binary mask to create image segmentation, the ROIs (Region of Interest segmentation) method is then used for extracting spectral intensity data on the banana surface of each single wavelength over the ripening process of banana. With an understanding of the optical characteristics of fruit tissues (both external and internal characteristics), this research focuses on external characteristics (color components) to properly assess banana quality. The outcomes demonstrate that the behavior of resulting graphs successfully determine spectral intensity profile changes to classify the color changes as well as four main stages of classification of raw, unripe, ripe and overripe banana.

Keyphrases: Banana fruit changes, homogeneity texture analysis, Hotelling transform, multispectral imaging, nondestructive method

In: Trung Nghia Tran, Quoc Khai Le, Tich Thien Truong, Thanh Nha Nguyen and Hoang Nhut Huynh (editors). Proceedings of International Symposium on Applied Science 2022, vol 5, pages 81--90

Links:	https://easychair.org/publications/paper/TJtJ
	https://doi.org/10.29007/tfqx

BibTeX entry

@inproceedings{ISAS2022:Using_VIS_NIR,
  author    = {Anh Xuan Nguyen and Minh Chau Ta Ngoc and Huu Tai Duong and My Ngoc Nguyen Thi and Quy Tan Ha and Hong Duyen Trinh Tran and Trung Nghia Tran},
  title     = {Using VIS -- NIR imaging for non-intrusive Musa Acuminata banana color changes assessment over a maturity period},
  booktitle = {Proceedings of International Symposium on Applied Science 2022},
  editor    = {Trung Nghia Tran and Quoc Khai Le and Tich Thien Truong and Thanh Nha Nguyen and Hoang Nhut Huynh},
  series    = {EPiC Series in Engineering},
  volume    = {5},
  pages     = {81--90},
  year      = {2023},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/TJtJ},
  doi       = {10.29007/tfqx}}

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