An Accurate HOG based Exemplar Pyramid Method for Image Classification of Astragalus L. Taxa

As known from the literature, machine learning (ML) is one of popular researches have been used variable areas. In this work, a novel exemplar pyramid method presented to accurately classify Astragalus L. taxa by using their chromosome images. To implement ML biological images, proposed used. Histogram Oriented Gradients (HOG) utilized as feature generator. The consists preprocessing, generation and concatenation, selection classification phase. 10 classifiers are chosen train test extracted features. According results, generates discriminative because five achieved 100.0% rate.