- Tytuł:
- An automatic segmentation method for scanned images of wheat root systems with dark discolourations
- Autorzy:
-
Gocławski, J.
Sekulska-Nalewajko, J.
Gajewska, E.
Wielanek, M. - Powiązania:
- https://bibliotekanauki.pl/articles/930018.pdf
- Data publikacji:
- 2009
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
system korzeniowy
segmentacja
szkielet
klasteryzacja
root system image
segmentation
skeleton
root discolourations
fuzzy c-means clustering - Opis:
- The analysis of plant root system images plays an important role in the diagnosis of plant health state, the detection of possible diseases and growth distortions. This paper describes an initial stage of automatic analysis-the segmentation method for scanned images of Ni-treated wheat roots from hydroponic culture. The main roots of a wheat fibrous system are placed separately in the scanner view area on a high chroma background (blue or red). The first stage of the method includes the transformation of a scanned RGB image into the HCI (Hue-Chroma-Intensity) colour space and then local thresholding of the chroma component to extract a binary root image. Possible chromatic discolourations, different from background colour, are added to the roots from blue or red chroma subcomponent images after thresholding. At the second stage, dark discolourations are extracted by local fuzzy c-means clustering of an HCI intensity image within the binary root mask. Fuzzy clustering is applied in local windows around the series of sample points on roots medial axes (skeleton). The performance of the proposed method is compared with hand-labelled segmentation for a series of several root systems.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2009, 19, 4; 679-689
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł