Vegetable leaf disease image segmentation method and system and computer readable storage medium

An image segmentation and vegetable leaf technology, applied in the field of image processing, can solve the problems of affecting the health quality of agricultural products, poor effect, economic loss, etc., and achieve the effect of rapid and effective detection and extraction

Pending Publication Date: 2018-08-03
SHANDONG UNIV OF FINANCE & ECONOMICS
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of vegetable cultivation, crops will suffer from various diseases due to environmental stress, microorganisms, viruses, bacteria, etc., which will lead to a decline in vegetable quality and cause major economic losses.
Under normal circumstances, farmers rely more on their own experience to judge the types of vegetable diseases and their control methods, which is highly subjective and less effective. At the same time, blindly spraying excessive pesticides to prevent and control vegetable diseases will cause pesticide residues and affect agricultural products. Therefore, early detection and early prevention of crop diseases are the key to increasing crop yield and reducing the use of pesticides

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vegetable leaf disease image segmentation method and system and computer readable storage medium
  • Vegetable leaf disease image segmentation method and system and computer readable storage medium
  • Vegetable leaf disease image segmentation method and system and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0051] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a vegetable leaf disease image segmentation method and system and a computer readable storage medium. The vegetable leaf disease image segmentation method includes the following steps that 1, superpixel clustering processing is conducted on vegetable leaf images to obtain superpixel segmentation images; 2, significance region detection processing is conducted on the superpixel segmentation images to obtain lesion significance images; 3, the lesion significance images are processed to obtain non-lesion pixel sets; 4, region growing an region merging are conducted on pixel points in the non-lesion pixel sets to obtain lesion areas and normal areas of the vegetable leaf images. By the adoption of the vegetable leaf disease image segmentation method and system and the computer readable storage medium, leaf diseases in greenhouses can be rapidly and effectively detected and extracted under the conditions that no chemical reagents are in use and diseased vegetable leaves are not damaged, and therefore the vegetable leaf disease image segmentation method and system and the computer readable storage medium can be well applied in monitoring greenhouse vegetable diseases.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to image segmentation technology and significance detection technology, in particular to a vegetable leaf disease image segmentation method, system and computer-readable storage medium. Background technique [0002] In the process of vegetable cultivation, various diseases will occur to crops due to environmental stress, microorganisms, viruses, bacteria, etc., which will lead to a decline in vegetable quality and cause major economic losses. Usually, farmers rely more on their own experience to judge the types of vegetable diseases and their control methods, which is highly subjective and less effective. At the same time, blindly spraying excessive pesticides to prevent and control vegetable diseases will cause pesticide residues and affect agricultural products. Therefore, early detection and early control of crop diseases are the key to increasing crop yield and reducing the use of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/136G06T7/187G06T7/90
Inventor 高珊珊苏昕兰婷婷孟凡丽王珊
Owner SHANDONG UNIV OF FINANCE & ECONOMICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products