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Titolo:
FINGER TRACKING FOR BREAST PALPATION QUANTIFICATION USING COLOR IMAGEFEATURES
Autore:
ZENG JC; WANG Y; FREEDMAN M; MUN SK;
Indirizzi:
GEORGETOWN UNIV,MED CTR,IMAGING SCI & INFORMAT SYST CTR,DEPT RADIOL WASHINGTON DC 20007 CATHOLIC UNIV AMER,DEPT ELECT ENGN WASHINGTON DC 20064
Titolo Testata:
Optical engineering
fascicolo: 12, volume: 36, anno: 1997,
pagine: 3455 - 3461
SICI:
0091-3286(1997)36:12<3455:FTFBPQ>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Keywords:
VISION-BASED FINGER MOTION TRACKING; COLOR FEATURE EXTRACTION; COLOR TRANSFORM; 3-DIMENSIONAL POSITION CALCULATION BY STEREO VISION; BIOMEDICAL APPLICATIONS; BREAST PALPATION FOR CANCER DETECTION; REAL-TIME VISUAL FEEDBACK;
Tipo documento:
Article
Natura:
Periodico
Citazioni:
13
Recensione:
Indirizzi per estratti:
Citazione:
J.C. Zeng et al., "FINGER TRACKING FOR BREAST PALPATION QUANTIFICATION USING COLOR IMAGEFEATURES", Optical engineering, 36(12), 1997, pp. 3455-3461

Abstract

A vision-based finger motion tracking approach is presented to gatherquantitative data about breast palpation for cancer detection, such as finger positions, search pattern and coverage area, and this approach is used to develop a prototype palpation training system. Special color markers are used as features of interest because in breast palpation the background of the image is the breast itself which is similar to the fingers in color. This color similarity can hinder the ability or efficiency of other feature extraction methods if real-time performance is required, To simplify the feature extraction process, color space transform is utilized instead of directly using the original RGB values of the image. Although the clinical environment will be well illuminated, normalization of color attributes is applied to compensate for minor changes in illumination. A neighbor search is employed to ensure real-time performance, and a three-finger pattern topology is checked for the extracted features to avoid any possible false features, After detecting the features in the images, 3-D positions of the color marked fingers are calculated using the stereo vision principle. Experimental results with the prototype training system are given to show the performance and effectiveness of the proposed approach. This approach is expected to significantly improve the training quality of breast palpation, thus increasing the detection rate and accuracy of breast cancer. (C) 1997 Society of Photo-Optical lnstrumentation Engineers.

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Documento generato il 07/04/20 alle ore 04:19:29