CONTENT-BASED IMAGE RETRIEVAL MENGGUNAKAN WALSHLET PYRAMID DAN GABOR WAVELET
Content-Based Image Retrieval (CBIR) merupakan salah satu media pencarian informasi berupa gambar yang banyak digunakan. CBIR dikembangkan dengan menerapkan tiga metode, Walshlet Pyramid, Gabor Wavelet dan penggabungan Walshlet Pyramid dengan Gabor ...
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Description of the content-based image retrieval algorithms to search for similar cases using the extracted features.
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Entropy guided multi level feature fusion network for high precision content based image retrieval. [PDF]
Lavanya M +3 more
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Dual-path deep learning framework for accurate and interpretable brain tumor diagnosis. [PDF]
Haroun RF +3 more
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AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors. [PDF]
Naveen K, Parvathi RMS.
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Energy-aware and trust-based secure routing in manets using swarm intelligence techniques. [PDF]
Hemalatha S +3 more
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A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images. [PDF]
Bozdag PG +7 more
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Transfer Learning-Based Ensemble of CNNs and Vision Transformers for Accurate Melanoma Diagnosis and Image Retrieval. [PDF]
Sarıateş M, Özbay E.
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Introducing an efficient method for feature extraction in image retrieval systems. [PDF]
Zhao X, He F, Li K.
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Análisis de usabilidad de sistemas CBIR
CBIR systems allow retrieval of digital pictures from visual attributes, such as colors, shapes or textures, mainly. To release this technology to user communities and national documentation centers, we have designed a descriptive card about six topics in demo version, which includes a section of user friendliness analysis, understanding this a tool ...
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