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Tobacco field image segmentation method

An image segmentation and image technology, applied in the field of digital images

Inactive Publication Date: 2015-12-23
GUANGDONG BRANCH OF CHINA TOBACCO GENERAL
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  • Abstract
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Problems solved by technology

[0003] The invention provides a tobacco field image segmentation method, which can better filter out noise and suppress the influence of complex environments such as uneven illumination

Method used

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Experimental program
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Embodiment 1

[0042] A tobacco field image segmentation method, comprising the following steps:

[0043] S1: Convert the collected tobacco field color images into Lab and YUV color space images respectively;

[0044] S2: Then the Lab color space image is subjected to threshold segmentation using the Ostu method, and the YUV color space image is segmented using the weighted fuzzy entropy method;

[0045] S3: Merge and filter the image segmented by the Ostu method and the image segmented by the weighted fuzzy entropy method to obtain a segmentation result.

[0046] In step S2, the process of thresholding the Lab color space image using the Ostu method is as follows:

[0047] Convert the collected tobacco field color image from the RGB color space to the LAB color space, select the a component of the LAB color space and use the Ostu method to segment the background of the image:

[0048] 21) Calculate the grayscale probability distribution of the a-component image:

[0049] p(k)k=0,1,2,...,...

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Abstract

The invention provides a tobacco field image segmentation method. The method is a farmland image segmentation method based on Lab and YUV color space. The method is characterized by merging a binary image obtained through Otsu threshold segmentation based on the Lab color space and a binary image obtained through a weighting fuzzy entropy segmentation method based on the YUV color space, and then, carrying out filtering so as to obtain an optimum segmentation effect. According to the experiment, the method can filter the noise and suppress the influence caused by complex environment of non-uniform illumination and the like better, and thus a satisfactory segmentation result is obtained, and accurate segmentation of the farmland image is realized.

Description

technical field [0001] The present invention relates to the field of digital images, in particular to a tobacco field image segmentation method. Background technique [0002] To carry out real-time monitoring of tobacco planting fields, it is necessary to collect and process the images of tobacco fields in real time, and the first basic problem to be solved in the processing of tobacco field images is to complete the recognition of tobacco field objects, that is, tobacco field images Segmentation, and some segmentation methods in the prior art are affected by different illuminations, which affect the accuracy of segmentation and recognition, and the unstructured characteristics of the farmland environment are obvious, and are easily affected by environmental factors such as illumination, shadows, and weather changes. The effect is not ideal. Contents of the invention [0003] The invention provides a tobacco field image segmentation method, which can better filter out noi...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 陈泽鹏
Owner GUANGDONG BRANCH OF CHINA TOBACCO GENERAL
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