Guided by the results of much research work done in the past on the performance of 2D image moments and moment invariants in the presence of noise, suggesting that by using orthogonal 2D Zernike rather than regular geometrical moments one gets many advantages regarding noise eeects, information suppression at low radii and redundancy , we have worked out and introduce a complete set of 3D polyn...

(Aim) COVID-19 is an ongoing infectious disease. It has caused more than 107.45 m confirmed cases and 2.35 deaths till 11/Feb/2021. Traditional computer vision methods have achieved promising results on the automatic smart diagnosis. (Method) This study aims to propose a novel deep learning method that can obtain better performance. We use pseudo-Zernike moment (PZM), derived from...

We propose a content-based semi-fragile watermarking algorithm for image authentication. In content-based watermarking scheme for authentication, one of the most challenging issues is to define a computable feature vector that can capture the major content characteristics. We identify Zernike moments of the image to generate feature vector and demonstrate its good robustness and discriminative ...

Digital medical system not only facilitates the storage and transmission of information but also brings security problems. Aiming at images, a robust zero watermarking algorithm for images based on Zernike-DCT is proposed. The first uses chaotic logic sequence to preprocess encrypt watermark, then performs edge detection Zernike moment processing original image get accurate points, discrete cos...

We present in this paper a method for implementing moment functions in a CMOS retina for object localization, and pattern recognition and classification applications. The method is based on the use of binary patterns and it allows the computation of different moment functions such as geometric and Zernike moments of any orders by an adequate choice of the binary patterns. The advantages of the ...

Heterosis and combining ability were calculated for 13 different morphological, yield, quality-related traits of 18 F1 Brassica napus hybrids developed through line × tester mating design using 6 lines 3 testers along with their parents. Line ANOVA revealed highly significant results among all characters except primary branches per plant. ZM-R-2 (tester) was identified as a good general combine...

There is increasing interest in novel view reconstruction but less for new time-based views of moving objects as needed for gait biometric deployment. Our interests concern reconstructing moving shapes from their moment history with a view to constructing new temporal views. This paper shows how the moment description through an object sequence can be used to predict missing or intermediate fra...

New Zernike velocity moments have been developed to describe an object, not only by its shape , but also by its motion throughout an image sequence. These are an extended form of the orthogonal Zernike moment set and include velocity information introduced via centralised moments. Initial analysis shows that they perform well when applied to analysing gait sequences resulting in a good recognit...