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Method for automatically detecting wheat tiller number based on RGB images

A RGB image, automatic detection technology, applied in image analysis, image data processing, image enhancement, etc., can solve problems such as difficult to determine the threshold, distinguish leaves and stalks

Inactive Publication Date: 2018-05-04
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

This method has certain limitations in application, because in the side view, if the projections of the leaves and stalks on the side view have the same thickness, it is difficult to determine an appropriate threshold to distinguish the leaves from the stalk

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  • Method for automatically detecting wheat tiller number based on RGB images
  • Method for automatically detecting wheat tiller number based on RGB images
  • Method for automatically detecting wheat tiller number based on RGB images

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Embodiment Construction

[0020] The present invention has developed a kind of automatic recognition method of the tiller number of small sellers based on Hough transform, and the specific implementation method is as follows:

[0021] (1) Use a camera to collect RGB images of wheat.

[0022] (2) Image segmentation: normalize the wheat RGB image to obtain the RGB value of each pixel, and extract 2G-R-B (R-red component image; G-green component image; B-blue component image) color difference gray degree map, using the OSTU method to obtain the threshold value of the gray image, and use the threshold value to binarize the image (such as figure 2 ); by detecting the edge of the flowerpot, find out the line number of the dividing line in the image, and remove the reference object below the dividing line to realize the segmentation of the wheat image ( image 3 ); extract the blue and green component images in the RGB image, adopt the method of subtracting the image of the green component from the image of...

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Abstract

The invention discloses a method for automatically detecting wheat tiller number based on RGB images, belonging to the field of plant phenotypic measurement. An ordinary camera is used as a collectiondevice to collect wheat images. Through a digital image processing technology, the method for automatically detecting wheat tiller number based on RGB images is designed. The method is as shown in .1 and includes the steps of segmenting the collected wheat RGB images, and extracting the entire wheat from the background; removing wheat stem portions by morphological treatment; and subtracting theentire segmented wheat images by the images having undergone morphological treatment, to obtain images comprising the wheat stems; after edge detection, obtaining discontinuous stems through Hough transformation line detection; connecting collinear line segments into a line segment by filling gaps, and detecting the number of the line segments, to automatically detect the wheat tiller number. Themethod is used for automatic nondestructive detection of the wheat tiller number based on the RGB images by adopting the Hough transformation method for the first time at home and abroad, and the method is suitable for automatic nondestructive detection of wheat and rice tiller number and lays the foundation for wheat phenotype automatic measurement.

Description

technical field [0001] The invention belongs to the application of digital image processing in the field of plant phenotype measurement, is a method for automatic non-destructive detection and measurement of wheat tiller numbers, and is suitable for automatic non-destructive detection of tiller numbers of wheat and rice crops. Background technique [0002] Wheat is an important food crop. Its sown area and total output occupy the first place in the world. The population whose main food is wheat accounts for 1 / 3 of the world's total population. The basics. Tillering is an important biological characteristic of wheat. To a large extent, the adaptation of wheat to the environment and the automatic adjustment of wheat populations are realized through the growth and decline of tillering. The number of wheat tillers and spike rate are determined by the robustness of individual growth under reasonable cultivation measures, and tiller spike rate determines the population structure ...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/136G06T7/194
CPCG06T7/13G06T7/136G06T7/194G06T2207/10024G06T2207/20061G06T2207/30188G06T2207/30242
Inventor 李琼砚高云鹏翁雨辰
Owner BEIJING FORESTRY UNIVERSITY
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