https://scholars.lib.ntu.edu.tw/handle/123456789/571758
標題: | SVM-Based Root Identification Algorithm Using Ridge Features and Eroded Masks | 作者: | Ding J.-J Cheng J.-C Lu X.-C Tsai S.-F Li H.-J Liu H.-C Liou Y.-J CHO-YING HUANG JIAN-JIUN DING |
關鍵字: | Image processing; Learning systems; Identification algorithms; Machine learning methods; Training data; Support vector machines | 公開日期: | 2020 | 來源出版物: | 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 | 摘要: | In botanical image processing, it is challenging to identify roots automatically since roots occupy only a very small part of the image and their colors are similar to those of soil. To address this, we apply three strategies. First, to fit the characteristics of roots, many ridge-like filters are applied. Second, the machine learning method of the support vector machine is applied and the boost mechanism is adopted. Also, morphology is adopted to avoid applying the pixels in the border as the training data. With these techniques, the roots with a variety of colors and widths can be accurately extracted. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098466231&doi=10.1109%2fICCE-Taiwan49838.2020.9258059&partnerID=40&md5=7d5ee18e8f231eebfc18217d6807b55e https://scholars.lib.ntu.edu.tw/handle/123456789/571758 |
DOI: | 10.1109/ICCE-Taiwan49838.2020.9258059 |
顯示於: | 地理環境資源學系 |
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