Pencarian Koleksi Digital
Hasil Pencarian Ditemukan 7 koleksi (Hal. 1/1)
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Survey on Content-based Image Retrieval and Texture Analysis with ApplicationsContent-based image retrieval is a very important area of research nowadays. Content Based mage Retrieval (CBIR) is a technique which uses visual features of image such as color, sβ¦
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Skin Disease Classification by Extracting Independent ComponentsThis paper proposes an automated system based on texture analysis for recognizing human skin diseases. The spatial distributions of melanin and hemoglobin in human skin are separatβ¦
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Automated Diagnosis of Pigmented Skin Lesions Based on Texture CharacteristicsSkin cancer is the most common type of cancer and represents 50% all new cancer detected every year. Melanoma is the most dangerous, deadly form of Skin Cancer. About 65% of Melanoβ¦
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A Multichannel Gray Level Co-Occurrence Matrix for Multi/Hyperspectral Image Texture RepresentationThis study proposes a novel method for multichannel image gray level co-occurrence matrix (GLCM) texture representation. It is well known that the standard procedure for the automaβ¦
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Texture Classification Using Curvelet TransformBrain tumors are due to abnormal growths of tissue in the brain. The most common group is gliomas, followed by meningiomas. Magnetic resonance imaging (MRI) is currently an indispeβ¦
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A Multichannel Gray Level Co-Occurrence Matrix for Multi/Hyperspectral Image Texture RepresentationThis study proposes a novel method for multichannel image gray level co-occurrence matrix (GLCM) texture representation. It is well known that the standard procedure for the automaβ¦
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Segmentation and Classification of Skin Lesions Based on Texture FeaturesSkin cancer is the most common type of cancer and represents 50% all new cancers detected each year. The deadliest form of skin cancer is melanoma and its incidence has been risingβ¦
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