An Image Combination Segmentation Method Based on Clustering Analysis and Edge Detection
Pages 30 - 34
Abstract
Considering that it is difficult to completely segment the spider mite image on the leaves of field crops from the leaf background, a combination segmentation method combining K-means clustering algorithm and Canny edge detection algorithm is proposed. This method first uses the K-means clustering algorithm to filter out most of the leaf background, then extracts the edge closed contour of the spider mite based on Canny edge detection, and implements the binarization segmentation of the spider mite image by algorithms such as seed filling and morphological opening operations. Experiments show that this method can achieve complete segmentation of spider mites images on leaves, which provides a new technique and method for spider mite pest analysis and insect number counting.
References
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Published In
November 2021
87 pages
ISBN:9781450386487
DOI:10.1145/3506651
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Association for Computing Machinery
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Published: 21 February 2022
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- Research
- Refereed limited
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- Guangzhou College Innovation and Entrepreneurship Education Curriculum and Teaching Research Project Innovation and Entrepreneurship Education Research and Practice Project of Computer Application Technology Major under the Vision of Smart City?
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DMIP '21
DMIP '21: 2021 4th International Conference on Digital Medicine and Image Processing
November 12 - 15, 2021
Kyoto, Japan
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