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International Conference on Wireless Communications, Networking and Applications (WCNA)

作者： Shuai, Du-Juan Liu, Chang-Hua Wuhan Polytech Univ Sch Math & Comp Sci Wuhan Hubei Peoples R China

ISBN: (纸本)9781450353441

(1)Giving that the changing light in the natural condition has negative impacts on the image segmentation of rape fields, the image of rape was processed by color segmentation algorithm and three - dimensional spatial mapping to realize the effective segmentation of rape and soil, rape and rape flowers. In this paper, the components of the RGB image in green crop is extracted by the color feature, and then, the gray space of the image is transformed into the three-dimensional space by using the green super-green existence principle. The mainly steps is: the separation of crops and soil;the extraction of rape flowers;the eatraction of rape plants. The experimental results indicate that this method can not only achieve the goal of the separation of soil and crops, but also extract the plants as well as rape flowers, and the segmentation of image is effective.

关键词： color feature color segmentation algorithm Three - dimensional spatial mapping Image segmentation Cole flower

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segmentation of Rapeseed color Drone Images Using K-Means Clustering 19

Segmentation of Rapeseed Color Drone Images Using K-Means Cl...

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3rd International Conference on Computer Science and Application Engineering (CSAE)

作者： Yang, Kang Liu, Changhua Wu, Xiaoming Li, Hao Wuhan Polytech Univ Wuhan Peoples R China Chinese Acad Agr Sci Oil Crops Res Inst Wuhan Peoples R China

ISBN: (纸本)9781450362948

Aiming at the problem of unsatisfactory segmentation effect of aerial image of rapeseed flowers in the process of florescence recognition. This paper proposes a method combining K-Means algorithm and color segmentation algorithm to segment rapeseed image. Firstly, the K-Means algorithm is used to first process the rapeseed image in Lab space. Then, the clustering results were processed once again in HSV space using color segmentation algorithm. Finally, the segmented rapeseed was subjected to morphological treatment to complete the effective segmentation of rapeseed and rapeseed flowers. Sixty different aerial rapeseed images were selected for segmentation experiments. The results show that this method can not only segment rapeseed well, but also effectively avoid the influence of illumination. The results of this experiment can provide reference for the later study of the flowering period of rapeseed.

关键词： Drone rapeseed image K-means clustering algorithm color segmentation algorithm Image segmentation

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Approximations of fuzzy soft sets by fuzzy soft relations with image processing application

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SOFT COMPUTING 2021年第10期25卷 6915-6925页

作者： Mockor, Jiri Hurtik, Petr Univ Ostrava Inst Res & Applicat Fuzzy Modeling Ctr Excellence IT4Innovat 30 Dubna 22 Ostrava Czech Republic

Fuzzy soft sets represent a generalization of fuzzy sets with considerable application potential in decision-making problems, optimization, and computer science. In the paper, we use the fact that the fuzzy soft sets powerset theory is defined by the monad and, using this theory, we introduce the concept of fuzzy soft relations defined by the monad. Using that general method, we can also introduce the fuzzy soft approximation of fuzzy soft sets defined by fuzzy soft relations. We show that fuzzy soft sets and fuzzy soft approximations can be naturally used in selective color segmentation problem, where reliable and fully automated methods do not yet exist.

关键词： Fuzzy soft sets Fuzzy soft relation Approximation of fuzzy soft sets color segmentation algorithm

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