In this paper, we proposed a classification of Thai herb leaves based on the properties of image regions.
The experimental results demonstrate that the classification performance of the proposed method in term of accuracy achieved 90.50% on average.
Sep 26, 2020 · In this paper, we aim to classify of Thai herb leaves using feature extraction based on only properties of image regions. The proposed method ...
Mettripun N et al.,(2020) [3] In this paper, they come up with to classify Thai herb leaves according to the colonization of the regions photographed, and ...
The system then extracts several features from the leaf image such as the leaf color, leaf size, aspect ratio and roundness using image processing techniques.
Missing: Regions. | Show results with:Regions.
The objective of this research was to build a computer system that could recognize some Thai herb leaves, using a process called the Thai herb leaf image ...
... Thai herb from a single image using convolutional neural network. Since Thailand is one of the world herbal source.We used 2,700 herbal images with their ...
Narong Mettripun: Thai Herb Leaves Classification Based on Properties of Image Regions. SICE 2020: 372-377. [+][–]. 2010 – 2019.
This study aims to identify and authenticate herbal leaves using the convolutional neural network and Long Short-Term Memory (CNN-LSTM) methods.