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Comparison of Color Model in Cotton Image Under Conditions of Natural Light

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文献类型：外文期刊

作者： Zhang, J. H. ¹ ; Kong, F. T. ¹ ; Wu, J. Z. ¹ ; Wang, S. W. ¹ ; Liu, J. J. ¹ ; Zhao, P. ¹ ;

作者机构： 1.Chinese Acad Agr Sci, Agr Informat Inst, Key Lab Agriinformat Serv Technol, Minist Agr, Beijing 100081, Peoples R China

关键词： Cotton;Color Model;Natural Light Conditions;Image Processing

期刊名称：PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, MECHATRONICS AND INTELLIGENT SYSTEMS (AMMIS2015)

ISSN：

年卷期： 2016 年

页码：

收录情况： SCI

摘要： Although the color images contain a large amount of information reflecting the species characteristics, different color models also get different information. The selection of color models is the key to separating crops from background effectively and rapidly. Taking the cotton images collected under natural light as the object, we convert the color components of RGB color model, HSL color model and YIQ color model respectively. Then, we use subjective evaluation and objective evaluation methods, evaluating the 9 color components of conversion. It is concluded that the Q component of the soil, straw and plastic film region gray values remain the same without larger fluctuation when using subjective evaluation method. In the objective evaluation, we use the variance method, average gradient method, gray prediction objective evaluation error statistics method and information entropy method respectively to find the minimum numerical of Q color component suitable for background segmentation.

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