Paper Title:
Research on Image Segmentation Technique for Pebrine in Silkworm Based on HSI Model
  Abstract

To segment the pebrine from the background effectively, this paper focuses on the research of image segmentation technology on the basis of HSI color model. Owing to the complex background and poor contrast of the pebrine image, the method of contrast enhancement is adopted to improve the image quality; the technology of target extraction based on HSI model is used to realize the direct extraction of the colorized object image from the background, which utilizes the color characteristic of pebrine image; Meanwhile, the research on the threshold processing on the basis of shape feature of pebrine image can be done to improve the efficiency of algorithm, which minimizes the influence of non-target image, and the method of morphology can be applied to eliminate the hole or dot noise, and to separate the adhesive pebrines, which increases the accuracy of pebrine recognition. The result shows the method reasonable and effective.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
2019-2023
DOI
10.4028/www.scientific.net/AMR.139-141.2019
Citation
D. D. Zhang, X. Y. Hu, Y. R. Pan, G. Y. Yang, "Research on Image Segmentation Technique for Pebrine in Silkworm Based on HSI Model", Advanced Materials Research, Vols. 139-141, pp. 2019-2023, 2010
Online since
October 2010
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Price
$32.00
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