Segmentation of convex cells with partially undefined edges

This paper presents an algorithm for segmentation of convex cells with partially undefined edges based on application of a marker-controlled watershed transform to a combination of a source grayscale image and the result of a “geodesic distance” morphological operation, applied to the result of binarization of a source image. The presented approach is used in computer image processing systems for analysis of several industrial materials. The text was submitted by the authors in English. Ilia V. Safonov received his MS degree in automatic and electronic engineering from Moscow Engineering Physics Institute/University (MEPhI), Russia in 1994 and his PhD degree in computer science from MEPhI in 1997. Since 1998 he is an associate professor of faculty of Cybernetics of MEPhI while conducting researches in image segmentation, features extraction and pattern recognition problems. Since 2004, Dr. I. Safonov has joint Image Enhancement Technology Group, Printing Technology Lab, Samsung Research Center, Moscow, Russia where he is engaged in photo, video, and document image enhancement projects. Konstantin A. Kryzhanovsky received the MS degree in cybernetics from Moscow Engineering Physics Institute/University (MEPhI), Russia in 2000. Since 2006 he is an assistant professor of faculty of Cybernetics of MEPhI. He is presently working towards his Ph.D. degree. His current research interests include image processing and pattern recognition. Gennady N. Mavrin received his MS degree in automatic and electronic engineering from Moscow Engineering Physics Institute/University (MEPhI), Russia in 1998. Since 2002 he is an assistant professor of faculty of Cybernetics of MEPhI. He is currently pursuing the PhD degree. His research interests include image segmentation and feature extraction problems.