Design of Chest Visual Based Image Reclamation Method Using Dual Tree Complex Wavelet Transform and Edge Preservation Smoothing Algorithm

• Published in: SN computer science Vol. 5; no. 4; p. 352
• Main Authors: Kumar, B. P. Pradeep, Darshan, S. L. Shiva, Naresh, E., Srinidhi, N. N., Shreyas, J.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.04.2024; Springer Nature B.V
• Subjects: Accuracy; AI Based Internet of Healthcare: Analysis and Future Perspectives; Algorithms; Complexity; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Feature extraction; Image databases; Image enhancement; Image retrieval; Information Systems and Communication Service; Localization; Matching; Medical imaging; Original Research; Pattern Recognition and Graphics; Queries; Reclamation; Semantics; Software Engineering/Programming and Operating Systems; Vision; Wavelet transforms; DWT; Medical image; Healthcare systems; B quantities; Visual BIR
• ISSN: 2661-8907; 2662-995X; 2661-8907
• DOI: 10.1007/s42979-024-02742-3

The proposed article put forward a new scheme for image reclamation using second phase discrete symlet transform for medical images. The current medical image reclamation approaches have limitations in providing accurate reclamation fallouts with high visual insight and low computational complexity. To address these issues, this model presents a methodology for creating a medical image database using Image Reclamation using DT-CWT and EPS filter suited for the Resolution Enhancement of query chest image sample well utilized to get better retrieval rate where DWT algorithm is utilized for feature extraction of query input images. Flat and perpendicular prognoses of summation of pixels are analyzed to extract BC quantities, which are then used to compute the matching score of similarity for the images present in the database. The system selects the samples that are most pertinent to the given query sample image based on the matching score. The system’s untrained database is used to obtain the photographs with the highest BC value. The projected method aims to improve the enhancement of sampled image by DT-CWT EPS algorithm to leads to increase the accuracy and efficiency of medical image reclamation for various research applications.