A plant lesion detection method based on improved non-maxima suppression
XIA Yong-quan
HUANG Hai-peng
WANG Bing
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 interpo-lation factor and related field coefficient,it used the target pixel four points and related fields around the gradi-ent 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.
Keywords：morphological filteringlinear interpolationnon-maxima suppressionlesion detection
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 97-102 )