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Blade feature extraction method and device

A feature extraction and blade technology, applied in the field of computer image processing, can solve the problems of poor recognition effect, large preprocessing workload, low degree of distinction between blades and background, etc., to achieve the effect of accelerating speed and improving efficiency

Active Publication Date: 2019-04-02
宁夏智启连山科技有限公司
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  • Claims
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Problems solved by technology

However, the difference between the leaves and the background in the natural environment is low, the recognition effect is poor, and the workload of preprocessing is large.

Method used

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  • Blade feature extraction method and device
  • Blade feature extraction method and device
  • Blade feature extraction method and device

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Embodiment Construction

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0057] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0058] It should be noted that like nume...

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Abstract

The invention provides a blade feature extraction method and device, and relates to the technical field of computer image processing. According to the method, a target leaf is decomposed into M contour point sub-images with identification codes, then all the sub-images are input into a feature extraction model, and color texture features and contour features of the target leaf are extracted basedon all the sub-images. According to the scheme, the feature extraction model based on deep learning is adopted, the blade features can be automatically extracted, manual operation is simplified, and therefore the efficiency of extracting the blade features is improved. In addition, the color texture features and the contour features are combined, so that the plant species identification accuracy can be improved by utilizing the extracted leaf features.

Description

technical field [0001] The present invention relates to the technical field of computer image processing, in particular to a blade feature extraction method and device. Background technique [0002] As the main parameters for calibrating the physiological and biochemical reaction processes such as plant growth and development, growth, and genetic characteristics, plant leaf contours are widely used in agricultural scientific research services and production as an important basis for plant identification. There are many kinds of plants on the earth, and plant identification is of great significance in botany, agriculture and horticulture. The traditional method of identifying plant species using plant leaf outlines is done manually, requires specialized technicians and is inefficient. [0003] With the rapid development of artificial intelligence technology, artificial intelligence can also be used to identify and classify plant leaves in the plant kingdom. However, in the ...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06N3/04
CPCG06V10/44G06V10/56G06N3/045G06F18/22
Inventor 张长水李易阳潘伟燊
Owner 宁夏智启连山科技有限公司
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