Multi-feature fusion-based drought identification method for corn early-stage image

A technology of multi-feature fusion and identification method, applied in the field of agricultural disaster identification, can solve the problems of in-depth agricultural impact and lag in the application of digital image processing, and achieve the effects of improving the recognition accuracy, eliminating redundant features, and reducing dimensionality.

Active Publication Date: 2017-06-13
TIANJIN UNIV
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Problems solved by technology

However, the application of digital image processing in agriculture is r...

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  • Multi-feature fusion-based drought identification method for corn early-stage image
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  • Multi-feature fusion-based drought identification method for corn early-stage image

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Embodiment Construction

[0045] In order to solve the problems in the prior art, the present invention adopts an image processing method to analyze the drought situation in the early stage of corn.

[0046] The tested corn variety is Zhengdan 958, sown on June 18, 2014, with a planting density of 60030 plants / hm 2, 2 rows x 6 plants per pool. The normal supply of soil moisture in the early stage of growth ensures the normal emergence of corn. The growth period from the normal emergence of corn to maturity is divided into the early growth period (emergence-big bell mouth period, the same below), the middle growth period (big bell mouth period-filling period, the same below), and the late growth period (grain filling-maturation period, the same below). Same) three reproductive stages. The invention provides an image processing technology-based method for identifying drought conditions in the early growth stage of corn. Three types of image samples are taken as the research objects: normal corn growth...

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Abstract

The invention belongs to the field of agricultural disasters and discloses a multi-feature fusion-based drought identification method for a corn early-stage image in order to judge drought conditions of plants in an early growth stage of corns, make preparations for subsequent work of agricultural workers, ensure sufficient water supply of the corns and normal growth of the plants, and prevent disasters. The method comprises the steps of firstly preprocessing an obtained corn plant image, and simulating sample conditions which possibly appear in a practical application to serve as expansion of an original sample set; secondly, combining obtained post-brightness adjustment samples and post-position change samples, and the original sample set to serve as a new sample set to perform subsequent processing, extracting three characteristics including a color, a singular value and a texture from the new sample set, performing dimension reduction processing on the characteristics by adopting a genetic algorithm, and constructing a characteristic database; and finally, selecting and using a least square support vector machine as a classifier to perform drought identification on the corn plants. The method is mainly used applied to the agricultural disaster identification occasions.

Description

technical field [0001] The invention belongs to the field of agricultural disaster recognition, and in particular relates to a multi-feature fused image drought recognition method in the early stage of corn. Background technique [0002] Image processing is a computer-related technology. It is a process of computing and processing images to achieve a certain purpose. Generally, image signals are converted into digital signals and processed by computers. In the early days of the development of image processing technology, it was mainly to improve human visual effects and image quality. With the rapid development of image processing technology, its technology has become very mature and has been widely used in many fields and industries, such as: criminal investigation technology, communication technology, medical imaging, biometrics, meteorology, etc. However, the application of digital image processing in agriculture is relatively lagging behind, but its impact on agricultur...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06T7/45G06T7/90
CPCG06T2207/30188G06V10/44G06V10/56G06F18/211G06F18/213G06F18/23213G06F18/2411
Inventor 路志英刘书辰
Owner TIANJIN UNIV
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