Research and Simulation on the Image Segmentation Algorithm with Corn Image Based on HSI Color Model

Xue Feng Hou; Yuan Yuan Shang

doi:10.4028/www.scientific.net/AMR.459.128

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 459Research and Simulation on the Image Segmentation...

Research and Simulation on the Image Segmentation Algorithm with Corn Image Based on HSI Color Model

Abstract:

Image segmentation is one focus of digital image processing. In this paper, fourteen different kinds of classical image segmentation algorithms are studied and compared using corn image and simulating in MATLAB based on HSI color model. The result reveals that the method that using H component based on HSI color model to deal with the histogram threshold algorithm and Laplace edge detection algorithm is effectively extract the plant from the corn image

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Periodical:

Advanced Materials Research (Volume 459)

Pages:

128-131

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.459.128

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Online since:

January 2012

Authors:

Xue Feng Hou, Yuan Yuan Shang

Keywords:

Edge Detection, HSI, Laplace, Region Segmentation, Threshold Segmentation

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References

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