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Flowering plant flower image division extracting method

An extraction method and image segmentation technology, applied in the field of image processing

Inactive Publication Date: 2013-12-11
NANJING AGRICULTURAL UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method for segmenting and extracting flower images. By analyzing the characteristics of flower images and some current segmentation methods, the present invention finds that the problem of extracting flowers can be solved by modifying the existing active contour model method.

Method used

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  • Flowering plant flower image division extracting method
  • Flowering plant flower image division extracting method
  • Flowering plant flower image division extracting method

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] The first step of step 1 is to select the center position of the flower

[0084] (1a) Calculate the three channel values ​​of the pixels in the image in the ESL space.

[0085] (1b) When the H value, S value and V value of a pixel are higher than a threshold at the same time, the pixel can be identified as the center of the flower.

[0086] The second step of step 1 is grayscale conversion: use the RGB to HSV calculation method, and use the H channel value as the brightness to generate a grayscale image. The formula is as follows:

[0087] Max=max(R,G,B)

[0088] Min=min(R,G,B);

[0089] V=Max

[0090] S=(Max-Min) / Max;

[0091] H = ( G - B ) ( Max - Min ) ...

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Abstract

The invention provides a flowering plant flower image division extracting method. The improved driving contour model algorithm is adopted, single flower images are extracted from butterfly orchid inflorescence images, and the foundation is laid for automatically identifying the growth state of flowering plants. Firstly, by means of the improved skeleton algorithm and the contour rebirth algorithm, primary contours of inflorescences of the flowering plants are generated; secondly, contour evolution is conducted by means of a driving contour model containing shape energy, so that the primary contours of inflorescences of the flowering plants approximate to the edges of the inflorescences of the true flowering plants; finally, corresponding flowers of the flowering plants are obtained according to the positions of stamens of the flowering plants. Example verification and contrast test results show that the method can better divide and extract single flowers in the inflorescences of the butterfly orchids, and the relatively strong anti-noise property is achieved. By means of the method, the single flowers in the inflorescences of the butterfly orchids can be better extracted, and compared with manual extracting results, the accuracy achieves 91.5%.

Description

Technical field: [0001] The invention belongs to the technical field of image processing, and relates to an image segmentation method, in particular to a flower image extraction method combining an active contour model and a skeleton algorithm, which is mainly used for processing natural flower images, and is a flower image segmentation extraction method. Background technique: [0002] Taking Phalaenopsis as an example, regulating the flowering period of Phalaenopsis is an important means to improve the planting efficiency of Phalaenopsis. The growth characteristics of Phalaenopsis can be identified through the image information of Phalaenopsis, and then compared with the growth model of Phalaenopsis, the growth stage of Phalaenopsis can be determined, and finally the temperature and humidity environmental parameters and water and fertilizer usage of Phalaenopsis can be adjusted to achieve the purpose of adjusting the flowering period . In the process of Phalaenopsis flower...

Claims

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Application Information

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IPC IPC(8): G06T7/60G06T7/00G06K9/46
Inventor 任守纲马超徐焕良
Owner NANJING AGRICULTURAL UNIVERSITY
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