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The paper presents a new method for separation of overlapping dental objects allowing more precise analysis of the dental arch using image processing methods and computational intelligence. The methodological part of the paper is devoted to the separation of dental objects using the watershed and region growing methods applied to denoised images of dental bodies. The main part of the paper is devoted...
The paper presents in its initial part fundamental mathematical tools for analysis of retinal images using methods of digital signal processing and enhancement and methods for their registration to monitor changes during the treatment. Bloodvessel trees are then extracted to analyse their specific structures to find retina disorders. The proposed graphical user interface is then used for analysis...
Segmentation, feature extraction and classification of signal components belong to very common problems in various engineering, economical and biomedical applications. The paper is devoted to the use of discrete wavelet transform (DWT) both for signal preprocessing and signal segments feature extraction as an alternative to the commonly used discrete Fourier transform (DFT). Feature vectors belonging...
Image segmentation, feature extraction and image components classification form a fundamental problem in many applications of multi-dimensional signal processing. The paper is devoted to the use of watershed transform for image segmentation in connection with wavelet transform allowing image de-noising and image components feature extraction. Proposed methods are applied for biomedical image analysis...
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