基于图像增强和边缘检测的高级植物叶片分类

Jibi G. Thanikkal, Ashwani Kumar Dubey, M. T. Thomas
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引用次数: 11

摘要

任何植物的准确识别都是通过对植物特征的理解和提取来实现的。图像处理技术在真实、准确地识别植物方面引起了人们的兴趣。其中,边缘检测技术在植物识别数据库的建立中起着非常重要的作用。边缘滤波和连续边缘优化技术使得Canny边缘检测在图像特征检索中得到广泛应用。提出的基于轮廓的图像分割方法对植物叶片的形态特征进行滤波。介绍了利用Canny边缘检测器提取植物叶片纹理的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Plant Leaf Classification Through Image Enhancement and Canny Edge Detection
Accuracy in identification of any plant is achieved by understanding and extracting the plant features. Image processing techniques has gained interest in identifying the plants in realist and accurate manner. Among them, Edge detection techniques has very important role in creation of database for plant identification. Edge filtering and optimization technique to create continuous edges makes Canny edge detection widely popular to retrieve image characteristics. The proposed contour based image segmentation process filter morphological features from plant leaves. Detailed vein and texture extraction of plant leave using Canny edge detector are explained.
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