Results 31 to 40 of about 13,554 (180)
International Journal of Advanced Robotic Systems, 2016 In this article, a bidirectional feature matching algorithm and two extended algorithms based on the priority k -d tree search are presented for the image registration using scale-invariant feature transform features.
XiangShao Liu +3 more
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Scale Invariant Feature Transform Based Fingerprint Corepoint Detection
Defence Science Journal, 2013 The detection of singular points (core and delta) accurately and reliably is very important for classification and matching of fingerprints. This paper presents a new approach for core point detection based on scale invariant feature transform (SIFT).
Madasu Hanmandlu Madasu Hanmandlu +4 more
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MIFT: A Moment-Based Local Feature Extraction Algorithm
Applied Sciences, 2019 We propose a local feature descriptor based on moment. Although conventional scale invariant feature transform (SIFT)-based algorithms generally use difference of Gaussian (DoG) for feature extraction, they remain sensitive to more complicated ...
Hua-Zhen Zhang +3 more
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Haze Removal Based on Refined Transmission Map for Aerial Image Matching
Applied Sciences, 2021 A novel strategy is proposed to address block artifacts in a conventional dark channel prior (DCP). The DCP was used to estimate the transmission map based on patch-based processing, which also results in image blurring.
Yogendra Rao Musunuri, Oh-Seol Kwon
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PERFORMANCE ANALYSIS OF SELECTED FEATURE DESCRIPTORS USED FOR AUTOMATIC IMAGE REGISTRATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Automatic detection and extraction of corresponding features is very crucial in the development of an automatic image registration algorithm. Different feature descriptors have been developed and implemented in image registration and other disciplines ...
O. G. Ajayi
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An improved localization method for lesion area in gynecological ultrasound image
EURASIP Journal on Image and Video Processing, 2020 The false positive and false negative rates of current image localization methods in gynecological lesion area are high because the effectiveness is affected by random noise.
Sujuan Yan, Hong Jin
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HSI-MSER: Hyperspectral Image Registration Algorithm Based on MSER and SIFT
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Image alignment is an essential task in many applications of hyperspectral remote sensing images. Before any processing, the images must be registered.
Alvaro Ordonez +3 more
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A Full-Featured FPGA-Based Pipelined Architecture for SIFT Extraction
IEEE Access, 2021 Image feature detection is a key task in computer vision. Scale Invariant Feature Transform (SIFT) is a prevalent and well known algorithm for robust feature detection.
Philipp Kreowsky, Benno Stabernack
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Differences in sensor types, resolutions, and imaging conditions can lead to considerable spectral differences in heterogeneous optical remote sensing images and the similarity of scale-invariant feature transform (SIFT) or local self-similarities (LSS ...
Li Xue, Yehua Sheng, Ka Zhang
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IET Computer Vision, 2015 Although multi‐objects tracking has been improved significantly, tracking multiple aircrafts with nearly the same appearance remains a difficult task, especially when a significant pose changes and long‐time occlusions occur in the complex environment ...
Zehua Xie, Zhenzhong Wei, Chen Bai
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