Research on Automatic Detection Technique for Pebrine Image Based on Computer Vision

Xin Yu Hu; Zuo Bing Chen; Dao De Zhang; Guang You Yang

doi:10.4028/www.scientific.net/AMR.159.383

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 159Research on Automatic Detection Technique for...

Research on Automatic Detection Technique for Pebrine Image Based on Computer Vision

Abstract:

Aiming to achieve the automatic detection and accurate identification of pebrine images, the fuzzy contrast enhancement algorithm was utilized to enhance the contrast of the target image in order to improve the image’s quality; Owing to the color character of light green for the pebrine, the image segmentation technique based on the HSI model can be applied to extract the pebeine image, at the same time, the morphology theory can be adopted to remove the noises such as the hole noise and point noise, and to separate the bond particles; The region labeling can be done on the binary image after the image segmentation, then the shape parameters of pebrine can be extracted, by making full use of the feature parameters, the method of neural network based on genetic algorithm is applied to recognize the pebrine image. These experiments show that the method has achieved satisfactory image recognition results.

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Periodical:

Advanced Materials Research (Volume 159)

Pages:

383-387

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.159.383

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Online since:

December 2010

Authors:

Xin Yu Hu, Zuo Bing Chen, Dao De Zhang, Guang You Yang

Keywords:

Computer Vision, Image Processing, Image Recognition, Pebrine

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References

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