Research on the Segmentation Method of Rice Leaf Disease Image

Li Bo Liu

doi:10.4028/www.scientific.net/AMM.220-223.1339

Paper Titles

Research of the Relationship between Measured Displacement and Pixel Displacement of Binocular Vision Sensor
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Tracking Multiple Persons under Occlusion Using Appearance Model Based on Attributed Relational Graph
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Application of MRI to Monitor the Process of Navel Orange Ripening
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Applications of C-V Model without Re-Initialization to Extract Stone Slabs Contour
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Research on the Segmentation Method of Rice Leaf Disease Image
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Investigation of OpenCV Image Processing Technique Applied in Wind Tunnel Ice-Shape Measurement
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Identification of the Hook on Investment Casting Shell Line Based on Machine Vision
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Vehicle-Mounted Camera Optimal Setting and Lane Projective Model for Lane Detection System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Research on the Segmentation Method of Rice Leaf...

Research on the Segmentation Method of Rice Leaf Disease Image

Abstract:

In Order to Improve the Segmentation Effect of the Rice Leaf Disease Images, we Take Optimal Iterative Threshold Method,OTSU Method and Fuzzy C-means Clustering Algorithm to Make Adaptive Segmentation of Rice Disease Images which Were Collected under Different Circumstances. through Comparative Analysis, Experimental Results Show that: Three Methods All Can Effective Separate Spot from the Leaves; in Comparison, the Effect of the Fuzzy C-means Clustering Algorithm Is the Best, but the Number of Iterations Is too many and the Time Spent on it Is the Most; the Effect of OTSU Method Is Lesser, Optimal Iterative Threshold Method Is the Worst. Comprehensive Considering the Segmentation Accuracy and Efficiency, the Paper Chooses OTSU as the Segmentation Method of the Rice Leaf Disease Images.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

1339-1344

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.1339

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Online since:

November 2012

Authors:

Li Bo Liu

Keywords:

Fuzzy C-Means Clustering, Image Segmentation, Optimal Iterative Threshold, Otsu, Rice Leaf

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