Iterated Denoising for Image Recovery
DCC '02 Proceedings of the Data Compression Conference
Region-Based Segmentation versus Edge Detection
IIH-MSP '09 Proceedings of the 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Effective Region Based Segmentation Technique for High Resolution Aerial Imagery
ICIG '09 Proceedings of the 2009 Fifth International Conference on Image and Graphics
Automatic Volumetric Liver Segmentation Using Texture Based Region Growing
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
IEEE Transactions on Information Technology in Biomedicine
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The paper presents a new method for enhancement of orthodontic images using the combination of two-dimensional data with different type of illumination and their processing using digital de-nosing and gradient image enhancement in the preliminary stage. The region growing method and the appropriate seed selection is then studied as an alternative to the distance and watershed transforms for their segmentation. The main goal of the paper is in (i) the presentation of mathematical methods for image analysis in the orthodontic treatment and (ii) presentation of the region growing method use for image regions classification. Resulting algorithms are used for gradient edge detection and image components enhancement in orthodontics.