Results 71 to 80 of about 70,146 (191)
A pixel pair–based encoding pattern for stereo matching via an adaptively weighted cost
IET Image Processing, 2021 Stereo matching, which is a key problem in computer vision, faces the challenge of radiometric distortions. Most of the existing stereo matching methods are based on simple matching cost algorithms and appear the problem of mismatch under radiometric ...
Yuli Fu +3 more
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IET Image Processing, 2021 With increasing demand for scale‐invariant and fast object recognition, speeded up robust features (SURF) have emerged and become a widely used feature extraction algorithm in computer vision. Nevertheless, SURF still requires high memory usage and heavy
Eunhee Cho, Yoonjin Kim
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Feature extraction and image processing for computer vision
, 2019 Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python.
Nixon, S. Mark +4 more
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Feature extraction and image processing for computer vision: 4th Edition
, 2019 Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python.
Aguado, Alberto, Nixon, Mark
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Fake Currency Detector Using Image Processing and Computer Vision Techniques
International Journal for Research in Applied Science and Engineering TechnologyCounterfeiting of currency has become a real threat to the livelihood of people as well as the economy of our country. Though fake currency detectors are available, they are restricted to banks and corporate offices leaving common people and small businesses vulnerable.
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Obstacle detection in aerodrome areas through the use of computer vision [PDF]
, 2010 This thesis addresses the problem of ground collisions between an aircraft and obstacles (including other aircraft) on the ramp and taxiway regions of an aireld.
Gauci, Jason
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A Comprehensive Review of Computer Vision and Image Processing Techniques
Computer Vision (CV) and Image Processing (IP) have emerged as fundamental pillars in modern computational intelligence, enabling machines to interpret, analyze, and make decisions based on visual data. Over the past decades, these domains have undergone a significant transformation from traditional algorithmic approaches to data-driven deep learning ...
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Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence
Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence provides a comprehensive overview of image processing methods and their integration with AI and computer vision. The book covers essential techniques such as filtering, segmentation, and feature extraction, alongside advanced algorithms like edge detection ...
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Correlations between fabric tensors computed on cone beam and microcomputed tomography images
, 2013 Computational Vision and Medical Image Processing. VIPIMAGE 2013 contains invited lectures and full papers presented at VIPIMAGE 2013 - IV ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Funchal, Madeira Island, Portugal,
Moreno, Rodrigo +9 more
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Feature extraction via heat flow analogy
, 2009 Feature extraction is an important field of image processing and computer vision. Features can be classified as low-level and high-level. Low-level features do not give shape information of the objects, where the popular low-level feature ...
Direkoğlu, Cem
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