Wojciech Wieclawek

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In this study a modified Live-Wire approach is presented. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the wavelet transform cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to computed tomography (CT) and magnetic(More)
  • W. Wieclawek
  • 2006
This document describes modification of the live-wire algorithm also known as the intelligent scissors. This tool is utilized to interactive segmentation of the digitized images. Unfortunately, traditional live-wire algorithm suffers from high computational cost and is time consuming method, highly dependent on image size. Numerical complexity follows that(More)
Watershed based modification of intelligent scissors has been developed. This approach requires a preprocessing phase with anisotropic diffusion to reduce subtle edges. Then, the watershed transform enhances the corridors. Finally, a roaming procedure, developed in this study, delineates the edge selected by a user. Due to a very restrictive set of pixels,(More)
The main goal of this work is to develop an algorithm to recognize the colour of a car. The methodology has been divided into three stages: car segmentation, region of interest (ROI) detection and colour recognition procedure. Proposed methodology is based on mathematical morphology operations and fuzzy systems. The computer application with graphical user(More)
The main goal of this work is a presentation of a new algorithm dedicated to cysts detection in Optical Coherence Tomography (OCT) images. Considered in this paper OCT scans concern the eyeball examination in ophthalmology. The proposed approach utilizes different image processing techniques including non-linear complex diffusion and mathematical morphology(More)
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