We propose that multiview wavelets can be used in processing multiview images. The reference functions for the synthesis/analysis of multiview images are described. The synthesized binary images were observed experimentally as three-dimensional visual images. The symmetric multiview B-spline wavelets are proposed. The locations recognized in the continuous wavelet transform correspond to the layout of the test objects. The proposed wavelets can be applied to the multiview, integral, and plenoptic images.
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http://dx.doi.org/10.1364/AO.55.006275 | DOI Listing |
Artif Intell Med
May 2024
Department of Management Information Systems (MIS), School of Business, King Faisal University (KFU), Al-Ahsa 31982, Saudi Arabia.
Globally, fungal infections have become a major health concern in humans. Fungal diseases generally occur due to the invading fungus appearing on a specific portion of the body and becoming hard for the human immune system to resist. The recent emergence of COVID-19 has intensely increased different nosocomial fungal infections.
View Article and Find Full Text PDFMultiview wavelets were designed to process images in autostereoscopic multiview three-dimensional (3D) displays. The structure of the proposed wavelets directly corresponds to the structure of the multiview image; the wavelets are made up of rectangular pulses. We demonstrated the analysis, synthesis, and rearrangement of 3D multiview images with the continuous wavelet transform, direct and inverse.
View Article and Find Full Text PDFFront Oncol
June 2023
Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Introduction: This study aims to develop an imaging model based on multi-parametric MR images for distinguishing between prostate cancer (PCa) and prostate hyperplasia.
Methods: A total of 236 subjects were enrolled and divided into training and test sets for model construction. Firstly, a multi-view radiomics modeling strategy was designed in which different combinations of radiomics feature categories (original, LoG, and wavelet) were compared to obtain the optimal input feature sets.
IEEE Trans Neural Netw Learn Syst
November 2024
Automatic defect detection plays an important role in industrial production. Deep learning-based defect detection methods have achieved promising results. However, there are still two challenges in the current defect detection methods: 1) high-precision detection of weak defects is limited and 2) it is difficult for current defect detection methods to achieve satisfactory results dealing with strong background noise.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
January 2023
The pancreas plays an important role in glucose metabolism, and developing diabetes or long-term glucose metabolism disturbance may be a prevalent sequela after pancreatectomy. Nevertheless, relative factors of new-onset diabetes after pancreatectomy stay unclear. Radiomics analysis is potential to identify image markers for disease prediction or prognosis.
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