Academic literature on the topic 'Keywords- Image Mosaicing'

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Journal articles on the topic "Keywords- Image Mosaicing"

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H, Shridhar, S. Harakannanavar Sunil, Kanabur Vidyashree, and Jayalaxmi H. "Performance Analysis of Feature based Multiple Descriptors with Histogram Equalization for Image Mosaicing." Indian Journal of Science and Technology 16, no. 31 (2023): 2380–87. https://doi.org/10.17485/IJST/v16i31.433.

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Abstract <strong>Objectives:</strong>&nbsp;The main objective of the proposed work is to develop an image mosaicing model for combining the images of different individual images. In other way, the union of two images and to evaluate the performance of the model in terms of the number of run time in seconds and number of key features they use.&nbsp;<strong>Methods:</strong>&nbsp;In this work, the Histogram Equalization is a processing step required to make the mosaic invariant to intra image and inter image intensity variability. The detailed feature of the enhanced image is extracted using Sca
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Chaudhari, Kajalben Mohanbhai Mrs. Hetal Bhaidasna. "A Survey On Image Mosaicing Using Feature Based Approach." INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH Volume 5, Issue 1 | March 2017 (2017): Page Number(s) — 565–568. https://doi.org/10.5281/zenodo.583719.

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Image mosaicing is consider as an active research area in computer vision and computer graphics. Image stitching techniques can be categorized into two approaches: Direct technique and Feature based techniques. Direct techniques compare all the pixel intensities of the images with each other, and Feature based techniques used to determine a relationship between images through distinct features extracted from the processed images.
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Kyi, Pyar Win Yuttana Kitjaidure and Kazuhiko Hmamoto: King Mongkut's Institute of Technology Ladkrabang Thailand. "An Implementation of Medical Image Mosaicing System Based on Oriented FAST and Rotated BRIEF Approach." Journal of Information Bioinformatics and Neuroscience (JBINS) Volume 4, Issue 1 (2018): 160–67. https://doi.org/10.5281/zenodo.4273856.

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Abstract: Image stitching is a technique that combines two or more images that are taken from different view of the same scene to obtain a panoramic image. Image stitching is used in medical applications for stitching of X-ray images. As the traditional system of X-ray machine cannot capture the whole body structure in a single image. So, images stitching solves this problem by combining two or more x-ray images into a large view one. This paper proposes an algorithm which automatically stitches the x-ray images with overlapped region. The stitching method is based on ORB features (Oriented FA
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Zylshal, Zylshal, Heri Susanto, and Sarip Hidayat. "EKSTRAKSI INFORMASI PENUTUP LAHAN AREA LUAS DENGAN METODE EXPERT KNOWLEDGE OBJECT-BASED IMAGE ANALYSIS (OBIA) PADA CITRA LANDSAT 8 OLI PULAU KALIMANTAN." MAJALAH ILMIAH GLOBE 18, no. 1 (2016): 09. http://dx.doi.org/10.24895/mig.2016.18-1.390.

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&lt;p class="abstrak"&gt;Ekstraksi informasi penutup/penggunaan lahan area luas seperti di Pulau Kalimantan umumnya terkendala oleh variasi nilai spektral di beberapa area yang berbeda, serta sulitnya mendapatkan hasil perekaman yang bebas dari awan. Klasifikasi visual, meski memberikan hasil yang baik, merupakan pekerjaan yang membutuhkan waktu dan tenaga yang relatif banyak, belum lagi potensi pengaruh subjektifitas interpreter. OBIA yang sudah mulai diterima dan banyak digunakan dalam klasifikasi digital bisa menjadi alternatif tambahan selain interpretasi visual maupun analisis digital ber
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Ankit, Garg. "A Survey on Image Mosaicing." Global Journal of Engineering Science and Researches 6, no. 4 (2019). https://doi.org/10.5281/zenodo.3250349.

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&nbsp;Picture mosaicing is consider as a functioning exploration region in PC vision and PC designs. Picture sewing methods can be arranged into two methodologies: Direct procedure and Feature based strategies. Direct strategies look at all the pixel forces of the pictures with one another, and Feature based systems used to decide a connection between pictures through unmistakable highlights removed from the prepared pictures. &nbsp; <strong><em>Keywords</em></strong>: <em>Image Mosaicing, Feature based approach, Feature detection and description, RANSAC,Blending</em><em>.</em>&nbsp;
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Jing, Li, Pan Quan, Z. Li Stan., and Yang Tao. "Automated Feature Points Management for Video Mosaic Construction." February 28, 2007. https://doi.org/10.5281/zenodo.1062512.

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A novel algorithm for construct a seamless video mosaic of the entire panorama continuously by automatically analyzing and managing feature points, including management of quantity and quality, from the sequence is presented. Since a video contains significant redundancy, so that not all consecutive video images are required to create a mosaic. Only some key images need to be selected. Meanwhile, feature-based methods for mosaicing rely on correction of feature points? correspondence deeply, and if the key images have large frame interval, the mosaic will often be interrupted by the scarcity o
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Itskovich, Tatiana, and Natalia Kupina. "Anatoly Omelchuk’s Sibiriad: Textual Categories and the Mental-specific Type of the Siberian." Quaestio Rossica 12, no. 3 (2024). http://dx.doi.org/10.15826/qr.2024.3.917.

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This article examines The River Returns, an autobiographical novel by Anatoly Omelchuk. The aim of the study is to identify the categorical features of the Siberian text, which make it possible to reconstruct the mentally specific type of the Siberian. The application of the method of categorical text analysis, accompanied by the methods of semantic, linguistic and linguistic-axiological interpretation of linguistic means, including regionalisms, contributes to the achievement of the goal. It is established that the integrity of the novel, consisting of 169 short stories and novellas, is forme
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