XIA Yong-quan, HUANG Hai-peng and WANG Bing. A plant lesion detection method based on improved non-maxima suppression[J]. Journal of Light Industry, 2017, 32(1): 97-102. doi: 10.3969/j.issn.2096-1553.2017.1.014
Citation:
XIA Yong-quan, HUANG Hai-peng and WANG Bing. A plant lesion detection method based on improved non-maxima suppression[J]. Journal of Light Industry, 2017, 32(1): 97-102.
doi:
10.3969/j.issn.2096-1553.2017.1.014
A plant lesion detection method based on improved non-maxima suppression
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College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China
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Received Date:
2015-11-27
Accepted Date:
2016-07-01
Available Online:
2017-01-15
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Abstract
Since the traditional edge detection operators in a plant lesion detection process using non-maxima suppression method very easily led to spurious noise edges,poor anti-noise performance and weak adaptive capacity,a non-maxima suppression based on improved linear interpolation method was proposed.This method at first used improved morphological filtering method to replace Gaussian filtering.Then by introducing interpolation factor and related field coefficient,it used the target pixel four points and related fields around the gradient direction coefficient linear interpolation, thus replacing the traditional method to compare with the field value directly along the gradient direction.The results showed that improved method had good improvements in terms of suppressing false edge point appears and adaptability in the lesion portion division, and had very good validity, accuracy and robustness.
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