Research output per year
Research output per year
Description
The dataset is related to the article published in Journal of Food Engineering titled : Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling
The data set is a near-infrared hyperspectral image which was used for data fusion of texture and spectral information for improving tea products classification.
The dataset contain two file .bin file and the .hdr file related to a single hyperspectral image. In the present work, the images were processed in Matlab however the readers can process them using any suitable image processing tool box.
The data set is a near-infrared hyperspectral image which was used for data fusion of texture and spectral information for improving tea products classification.
The dataset contain two file .bin file and the .hdr file related to a single hyperspectral image. In the present work, the images were processed in Matlab however the readers can process them using any suitable image processing tool box.
| Date made available | 22 Jan 2019 |
|---|---|
| Publisher | University of Strathclyde |
Research output
- 1 Article
-
Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling
Mishra, P., Nordon, A., Mohd Asaari, M. S., Lian, G. & Redfern, S., 1 May 2019, In: Journal of Food Engineering. 249, p. 40-47 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile51 Citations (Scopus)25 Downloads (Pure)
Projects
- 1 Finished