GitHub / RoyWeiiiii / Scope_3_Microalgae_shape_texture_convolution_classification

The goal of this study is to classify microalgae of different species such as Chlorella vulgaris FSP-E, Chlamydomonas reinhardtii, and Spirulina platensis, using machine learning (ML) and deep learning (DL) methods

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Topics: adaptivethreshold, azure-custom-vision, bilateral-filtering, canny-edge-detection, chlamydomonas-reiinhardtii, chlorella-vulgaris, classification, deep-learning, gray-scale-images, image-processing, knn-classification, machine-learning, microalgae-recognition, morphological-features, real-time-monitoring, sobel-edge-detector, spirulina-platensis, svm-classifier, texture-features

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