A standardised protocol for texture feature analysis of endoscopic images in gynaecological cancer

Marios S Neofytou, Vasilis Tanos, Marios S Pattichis, Constantinos S Pattichis, Efthyvoulos C Kyriacou, Dimitris D Koutsouris
2007 BioMedical Engineering OnLine  
In the development of tissue classification methods, classifiers rely on significant differences between texture features extracted from normal and abnormal regions. Yet, significant differences can arise due to variations in the image acquisition method. For endoscopic imaging of the endometrium, we propose a standardized image acquisition protocol to eliminate significant statistical differences due to variations in: (i) the distance from the tissue (panoramic vs close up), (ii) difference in
more » ... viewing angles and (iii) color correction. Methods: We investigate texture feature variability for a variety of targets encountered in clinical endoscopy. All images were captured at clinically optimum illumination and focus using 720x576 pixels and 24 bits color for: (i) a variety of testing targets from a color palette with a known color distribution, (ii) different viewing angles, (iv) two different distances from a calf endometrial and from a chicken cavity. Also, human images from the endometrium were captured and analysed. For texture feature analysis, three different sets were considered: (i) Statistical Features (SF), (ii) Spatial Gray Level Dependence Matrices
doi:10.1186/1475-925x-6-44 pmid:18047655 pmcid:PMC2246140 fatcat:76hq7rscqvhlbi2i3rymszk6ci