Marcin Denkowski

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This paper presents the development process of a platform for image processing with a focus on the medical imaging. Besides general image processing algorithms and visualization tools, this platform includes advanced medical imaging modules for segmentation, registration and morphological analysis. It allows fast addition and testing of new algorithms using(More)
– Acquisition of image series using the digital camera gives a possibility to obtain high resolution/quality animation, much better than while using the digital camcorder. However, there are several problems to deal with when producing animation using such approach. Especially, if motion involves changes in observer position and spatial orientation, the(More)
This paper presents an overview of two-dimensional image fusion methods using convolution filters and discrete wavelet transform developed by the authors. Image fusion is a process of combining two or more images of the same object into one extended composite image. It can extract features from source images and provide more information than one image. This(More)
OBJECTIVES To compare noise levels in subtraction images produced by four methods of geometric alignment. METHODS 50 pairs of intraoral radiographs (Digora Optime; Soredex, Tuusula, Finland) were used in this study. Two programs were used to correct geometric differences: ToothVis 1.4 (TV) and DentalStudio 2.0 (DS). Three reference points were manually(More)
This paper presents comparisons and evaluations of registration methods of intra-oral radiograph images. Several automatic and manual algorithms were examined. Three similarity functions for automatic registration are described and evaluated. In addition, the results of two manual registration tests are compared for both 3 and 10 control points marked(More)
The main problem with images acquired using macro photography is the very shallow depth-of-field. In this article we present and implement an algorithm to reconstruct full focused images based on partially focused images series of the same object acquired with different focus depths. The presented algorithm consists of several phases including: image(More)