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multimedia-database

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M-Taghizadeh / Image-Processing-Python

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In this repository, we implement common image processing techniques in Python and fully describe their algorithms.

python opencv numpy image-processing scikit-image scipy matplotlib noise-generator cv2 noise-reduction gaussian-filter median-filter contrast-enhancement histogram-equalization histogram-of-oriented-gradients mean-filter multimedia-database bit-plane-slicing spatial-filtering local-binary-pattern
  • Updated Apr 21, 2022
  • Jupyter Notebook

Gururaj29 / multimedia-and-web-databases

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This project implements advanced image retrieval techniques for Caltech101 dataset, using algorithms like MDS, SVD, DBScan, and Locality Sensitive Hashing (LSH). It focuses on optimizing retrieval accuracy and efficiency through dimensionality reduction, clustering, classification, and relevance feedback, enhancing multimedia search capabilities.

machine-learning svm image-processing lsh image-classification lda svd dbscan decision-tree-classifier random-forest-classifier relevance-feedback multimedia-database retrieval-systems probablistic-models nnmf
  • Updated Nov 30, 2023
  • Jupyter Notebook

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