An automatic segmentation method for scanned images of wheat root systems with dark discolourations

• Autorzy: Jarosław Gocławski , Joanna Sekulska-Nalewajko , Ewa Gajewska , Marzena Wielanek
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

root system image; segmentation; skeleton; root discolourations; fuzzy c-means clustering

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2009
• Tom: 19
• Numer: 4
• Strony: 679-689

Daty

wydano

2009

otrzymano

2009-03-25

poprawiono

2009-07-22

Twórcy

autor

Jarosław Gocławski

• Computer Engineering Department, Technical University of Łódź, Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Joanna Sekulska-Nalewajko

• Computer Engineering Department, Technical University of Łódź, Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Ewa Gajewska

• Department of Plant Physiology and Biochemistry, University of Łódź, Banacha 12/16, 90-237 Łódź, Poland

autor

Marzena Wielanek

• Department of Plant Physiology and Biochemistry, University of Łódź, Banacha 12/16, 90-237 Łódź, Poland

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Identyfikatory

DOI

10.2478/v10006-009-0055-x