Support Vector Machines (SVM) based identification and classification of pharmaceutical images
DOI:
https://doi.org/10.32870/recibe.v13i1.319Keywords:
Machine learning, Artificial Intelligence, Artificial VisionAbstract
The present study focuses on the identification and classification of images that contain drugs, with the purpose of facilitating their selection and/or appropriate administration. The implementation of the algorithm is carried out by combining conventional techniques and machine learning methods. Preprocessing is used to carry out image segmentation, using the thresholding technique. Once the segmentation is completed, the pills are classified using machine learning techniques, also known as machine learning in English. In the specific context of this work, the use of support vector machines (SVM) is chosen, which demonstrate notable effectiveness in the classification of linearly separable data.References
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