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morphological-features

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RoyWeiiiii / Scope_3_Microalgae_shape_texture_convolution_classification

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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

machine-learning deep-learning image-processing classification canny-edge-detection svm-classifier knn-classification microalgae-recognition real-time-monitoring adaptivethreshold azure-custom-vision bilateral-filtering texture-features sobel-edge-detector gray-scale-images morphological-features chlorella-vulgaris chlamydomonas-reiinhardtii spirulina-platensis
  • Updated Oct 5, 2024
  • Python

iamaayushrivastava / Leaf-Image-Classification-Using-Morphological-Features

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Identification of plants by analyzing their leaves using digital image processing techniques which involves examining and extracting various morphological features such as shape, color, and texture. This approach influences technology to automate and streamline the identification process.

python machine-learning machine-learning-algorithms feature-extraction image-classification morphological-features
  • Updated Jun 14, 2024
  • Jupyter Notebook

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