| Autor: |
Imah, E M, Rahayu, Y S, Wintarti, A |
| Zdroj: |
IOP Conference Series: Materials Science and Engineering; January 2018, Vol. 288 Issue: 1 p012058-012058, 1p |
| Abstrakt: |
Plant recognition based on digital leaf image has received as particular attention in computer vision and intelligence system, due its important implication in automatic plant identification. Plant species have the unique leaf characteristics such as the shape, texture, margin, and colour, which different each other. This study presents a novel method for automation plant recognition using Generalized Relevance Learning Vector Quantization (GRLVQ). GRLVQ is a competitive based learning algorithm which is integrating features extraction and classification phases. The experimental result shows that GRLVQ has better performance than the predecessor algorithm. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
