Results 221 to 230 of about 9,825,333 (241)
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Improved recognition of bacterial species using novel fractional-order orthogonal descriptors
Applied Soft Computing, 2020Detection and distinguishing between different species of bacteria using experimental microbiology is an expensive, time-consuming, and risky process.
M. A. Elaziz +3 more
semanticscholar +1 more source
Local Orthogonal Moments for Local Features
IEEE Transactions on Image Processing, 2023By introducing parameters with local information, several types of orthogonal moments have recently been developed for the extraction of local features in an image.
Jian-Wei Yang +4 more
semanticscholar +1 more source
Fractional Charlier moments for image reconstruction and image watermarking
Signal Processing, 2020In this paper, we propose a new set of discrete orthogonal polynomials called fractional Charlier polynomials (FrCPs). This new set will be used as a basic function to define the fractional discrete orthogonal Charlier moments (FrCMs). The proposed FrCPs
M. Yamni +6 more
semanticscholar +1 more source
Perceptual Image Hashing Using Feature Fusion of Orthogonal Moments
IEEE transactions on multimediaDue to the limited number of stable image feature descriptors and the simplistic concatenation approach to hash generation, existing hashing methods have not achieved a satisfactory balance between robustness and discrimination.
Xinran Li +4 more
semanticscholar +1 more source
Stereo Image Analysis by Octonion Fractional-Order Orthogonal Color Moments
SSRN Electronic Journal, 2022Cheng Peng +3 more
openaire +1 more source
Fractional Order Tchebichef Moment and its Invariants
IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, 2018Discrete orthogonal moments are computationally efficient as compared to its continuous counterpart. The Tchebichef moment shows less computation cost among moments defined in discrete coordinate system.
V. Pandey +2 more
semanticscholar +1 more source
Novel fractional-order Jacobi moments and invariant moments for pattern recognition applications
Neural computing & applications (Print), 2021O. El Ogri +6 more
semanticscholar +1 more source
IEEE Transactions on Image Processing
Deepfake detection remains a challenging research topic, especially when the quality of forged images degrades, leading to unreliable detection results.
Chun-peng Wang +6 more
semanticscholar +1 more source
Deepfake detection remains a challenging research topic, especially when the quality of forged images degrades, leading to unreliable detection results.
Chun-peng Wang +6 more
semanticscholar +1 more source
International Journal of Communication Systems
To address the issue of low direction‐of‐arrival (DOA) estimation accuracy for acoustic vector sensor arrays under impulsive noise and grid mismatch conditions, a look ahead orthogonal matching pursuit algorithm based on phased fractional lower‐order ...
Zebiao Shan +3 more
semanticscholar +1 more source
To address the issue of low direction‐of‐arrival (DOA) estimation accuracy for acoustic vector sensor arrays under impulsive noise and grid mismatch conditions, a look ahead orthogonal matching pursuit algorithm based on phased fractional lower‐order ...
Zebiao Shan +3 more
semanticscholar +1 more source

