An Algorithm of Leaf Image Segmentation Based on Color Features

Abstract:

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The paper proposes a digital image extraction and segmentation algorithm based on color features. The traditional transformation from RGB model to HSI model is improved, meanwhile the leaf color information is extracted by similarity distance between pixels. The green component of leaf image in the RGB model is strengthened, and then the digital image is transformed to the HSI model by the improved method. Finally the image is divided by similarity distance of pixels’ H weight which determines whether the pixel belongs to the blade. The results of simulation experiment shows that this algorithm can achieve a good image segmentation effect, and it has a high degree of accuracy as well as a clearly distinguish degree and many other advantages such as good consistency with human visual system. It completely meets the effectiveness and clarity requirements of image segmentation.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

846-851

DOI:

10.4028/www.scientific.net/KEM.474-476.846

Citation:

J. Y. Bai and H. E. Ren, "An Algorithm of Leaf Image Segmentation Based on Color Features", Key Engineering Materials, Vols. 474-476, pp. 846-851, 2011

Online since:

April 2011

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Price:

$35.00

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