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Smartphone-Based Color Measurement of Tooth Shade Guide in Clinical Lighting Conditions

Radziun Agnieszka, Doniec Rafał, Sieciński Szymon, Piaseczna Natalia, Mocny-Pachońska Katarzyna, Cieślik-Wegemund Marta, Duraj Konrad, Tanasiewicz Marta, Tkacz Ewaryst

Annals of Computer Science and Information Systems

2021

Vol. 25

409--413

Caries is a common disease of hard tissues of teeth which results in dental cavities, which are usually replaced by dental filling. Matching the color of a dental filling is usually a subjective assessment. In this study we conducted a color analysis of GC Gradia Direct shade guide in the lighting conditions of the dental office. Color measurement was performed using Color Grab mobile app and the results were acquired as values of RGB and HSV values. The results indicate the possibility of identifying each shade of tooth by the most prominent changes in RGB, and/or HSV components.

Counting instances of objects in color images using U-net network on example of honey bees

Westwańska Weronika W., Respondek Jerzy S.

Annals of Computer Science and Information Systems

2019

Vol. 18

87--90

This article presents a novel approach to segmentation and counting of objects in color digital images. The objects belong to a certain class, which in this case are honey bees. The authors briefly present existing approaches which use Convolutional Neural Networks to solve the problem of image segmentation and object recognition. The focus however is on application of U-Net convolutional neural network in an environment where knowledge about the object of interest is only limited to its rough, single pixel location. The authors provide full access to the details of the code used to implement the algorithms, as well as the data sets used and results obtained. The results show an encouraging low level of counting error at 14.27% for the best experiment.

A two-pass median-like filter for impulse noise removal in multi-channel images

Grabowski S., Bieniecki W.

Image Processing & Communications

2003

Vol. 9, no 3-4

19-26

We propose a two-pass median filter for impulse noise suppression in color images. The first pass is our previously presented algorithm, PNN-VMF [2]. The second pass routine is chosen dynamically on the basis of the number of pixel modifications performed by the first pass filtering. Such an approach is likely to avoid harm (e.g., blurring edges) resulting from excessive filtering. The effectiveness of the algorithm has been experimentally verified on 15 standard images.