Results 31 to 40 of about 20,912 (305)
Abstract Automatic and precise segmentation of breast ultrasound (BUS) image is a challenging task. The proposed method successfully implemented a segmentation algorithm by region growing from a seed point based on texture features generated by Gray Level Co-occurrence Matrix (GLCM).
T. P. Shiji, S. Remya, Vinu Thomas
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Pemalsuan terhadap citra digital sangat sering terjadi pada perkembangan teknologi sekarang ini. Image splicing adalah salah satu metode yang paling umum yang digunakan untuk melakukan kegiatan pemalsuan citra. Tujuan penelitian ini adalah membangun aplikasi deteksi image splicing pada citra dengan metode Discrete Cosine Transform (DCT) dan ...
Endina Putri Purwandari+2 more
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The similarity of a pair of images can be measured using the distance measurement method from the feature extraction. The feature extraction method used in this research was the Scale Invariant Feature Transform (SIFT). This method is an extraction method that is invariant to changes in scale, rotation, translation and illumination.
Rani Rotul Muhima, Hendro Nugroho
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In recent years, more and more data has been created in digital form, allowing for easier control over storage and manipulation thanks to technological advancements. Unfortunately, these advancements also bring with them many risks, especially those related to the security of digital files.
Muhamad Masjun Efendi, Nukman Nukman
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Penggabungan Gambar Panorama Menggunakan Metode SIFT (Scale Invariant Feature Transform ) [PDF]
Penggabungan gambar merupakan suatu proses menggabungkan gambar yang berbeda dan tumpang tindih menghasilkan sebuah gambar panorama. Gambar panorama adalah sebuah gambar yang memiliki sudut pandang yang luas dan sering disebut wide angle.
Fadillah, Nurul+2 more
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In the digital age, image manipulation is common, often done before publication on social media. However, this can lead to negative impacts, including visual deception. This research aims to detect splicing type image manipulation using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) methods.
Zumratul Muhidin+2 more
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Abstract The natural disaster in Palu became a significant challenge in identifying damaged building objects. The large number of damaged buildings made it difficult for the government to identify the level of damage to buildings and the feasibility of the construction process after natural disasters.
Ahmad Zakaria+4 more
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Design of Foreign Currency Recognition Application using Scale Invariant Feature Transform (SIFT) Method based on Android (Case Study: Singapore Dollar) [PDF]
Mohammad Rizky Adhiguna+2 more
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An Improved ASIFT Image Feature Matching Algorithm Based on POS Information
The affine scale-invariant feature transform (ASIFT) algorithm is a feature extraction algorithm with affinity and scale invariance, which is suitable for image feature matching using unmanned aerial vehicles (UAVs).
Junchai Gao, Zhen Sun
doaj +1 more source