Segmentation method and device for disease speckles on edge-blurred leaves of protected-cultivation vegetables

Abstract

The present invention provides a segmentation method and a device for disease speckles on the edge-blurred leaves of protected-cultivation vegetables. The method comprises the steps of acquiring the gray value of any target point and the gray value of any adjacent point of the target point in a to-be-processed image; according to the gray values of all adjacent points of any target point, obtaining an average gray value of the neighborhood of the target point; according to k and the transverse and longitudinal coordinate offsets of any adjacent point of any target point, obtaining the weight value of any adjacent point of the target point; according to the gray value of all adjacent points of any target point and the above weight value, obtaining the weighted grayscale mid-value of the neighborhood of the target point; according to the obtained three values of the target point, establishing a three-dimensional histogram (hereinafter referred to as the histogram) and figuring out the region of any target point in the three-dimensional coordinate system (hereinafter referred to as a coordinate system) of the histogram; correcting the three values of the target pint according to a preset strategy; calculating the distance between any target point and the origin of the coordinate system according to the corrected values and conducting the dimension reduction of the histogram according to the distance; segmenting the histogram to obtain an optimal threshold based on OTSU; and segmenting the to-be-processed image according to the threshold. According to the technical scheme of the invention, the computer-aided segmentation for disease speckles is realized.

Description

technical field

[0001] The invention relates to the field of agricultural technology, in particular to a method and device for segmenting leaf disease spots with fuzzy edges on protected vegetables. Background technique

[0002] Image segmentation can divide an image into many regions, and each region does not overlap with each other, pixels in the same region have similarity, while pixels in different regions have dissimilarity. In computer vision-based image processing, timely image segmentation is crucial. Reasonable and effective image segmentation results can accurately extract target information, which plays a very important role in subsequent image processing and disease diagnosis.

[0003] Computer-aided diagnosis and control of plant diseases is a new field of application of image processing technology, computer vision technology and pattern recognition technology in recent years. The basis and key of computer-aided disease diagnosis and control is to be able to a...

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