文章基本信息

标题：Plant Leaf Segmentation Using Non Linear K means Clustering
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作者：N.Valliammal ; S. N. Geethalakshmi
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：This paper presents a new approach for plant leaf image segmentation by applying non linear k means algorithm. The segmentation process presents a clustering mechanism for high resolution images in order to improve the precision and processing time. Plant image, however, always contain complicated background objects that interfere with the examination process and must be removed from the image prior to species classification. K means clustering is applied at the first level of segmentation to detect the structure of the plant leaf. At the second level Sobel edge detector is used to remove the unwanted segments to extract the exact part of the leaf shape. The performance of the proposed method is compared with other traditional methods to analyze the efficiency of the system. Experimental result shows that this new approach simplifies the process to extract shape related features and measurements of the leaf for higher accuracy.
关键词：Edge Detection; Sobel Edge Detector; K means clustering; Plant Leaf Identification.