Plant identification method and device with high identification rate

A recognition device and recognition rate technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of low recognition rate, and achieve the effect of high recognition rate, accurate recognition and strong adaptability

Active Publication Date: 2014-06-18
COLD & ARID REGIONS ENVIRONMENTAL & ENG RES INST CHINESE
View PDF2 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a plant recognition method with high recognition rate to solve the problem of low recognition rate when the existing method recognizes large sample data (more plant species to be distinguished)

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
  • Plant identification method and device with high identification rate
  • Plant identification method and device with high identification rate
  • Plant identification method and device with high identification rate

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The following embodiments can further illustrate the present invention, but do not limit the present invention in any way.

[0029] Such as figure 1 As shown, a plant recognition device with a high recognition rate includes an image acquisition unit, an image preprocessing unit, a feature extraction unit and a classification unit:

[0030] 1. Image acquisition unit: The image acquisition unit is a module used to acquire external images. In this device, images are acquired mainly through three commonly used image acquisition devices such as scanners, mobile phone cameras, and digital cameras. No matter what kind of equipment is used to obtain images, if the following requirements are mainly met, the device can be used for plant identification; Note: . The background should not be complicated. It is difficult to accurately segment the leaves under the complex background, which will easily lead to recognition failure. . Try to keep the leaves intact and representative...

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 plant identification method and device with a high identification rate. The method includes the specific steps that firstly, a plant organ digital image is collected through an image collection unit and serves as a test sample; secondly, the sample is preprocessed to obtain a gray level image; thirdly, feature extraction is carried out on the gray level image through a pulse-coupled neural network so as to obtain an entropy sequence capable of reflecting the gray level image; a high plant identification rate can be obtained through a support vector machine classifier with the entropy sequence as a main feature and the morphological features as auxiliary features. The plant identification method and device can achieve simple and accurate identification of large sample data (with a large number of plant species to be distinguished) and have a high identification rate and strong adaptability; tests on existing databases verify that the accuracy rate of the plant identification method and device reaches more than 98%.

Description

technical field [0001] The invention relates to a plant recognition method based on leaf images, in particular to a plant recognition method and device with high recognition rate. Background technique [0002] There are many classification methods currently used for plants, which can be roughly divided into classical morphological classification methods and modern classification methods. Modern plant classification methods require high technical expertise, such as plant cytotaxonomy, phytochemical taxonomy, plant serotaxonomy, and plant genetics. For non-professionals, these classification methods are complicated to operate, difficult to grasp or not practical, let alone suitable for field work environment. Compared with modern classification methods, the classical plant morphological classification method is easier to grasp, and is suitable for the identification of living plants in the wild. The classical morphological classification method is to classify plants by obser...

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): G06K9/00G06K9/60
Inventor 王兆滨张耀南孙晓光马义德祝英康建芳
Owner COLD & ARID REGIONS ENVIRONMENTAL & ENG RES INST CHINESE
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap