COMPUTATIONAL TECHNOLOGIES OF THE MEDICAL IMAGE PROCESSING: EDGE DETECTION
Svetlana V. Kirillova. Mikhail A. Kurako,Yousif A. Hamad,Konstantin V. Simonov
Institute of Space and Information Technologies Siberian Federal University, Doctor of Technical Science, Leading Researcher, Institute of Computational Modelling Siberian Branch of the Russian Academy of Sciences
Edge detection is one of the most important elements in medical image processing and become a diagnostic technique largely applied for the determination of doctor’s diagnosis. But it is difficult for detecting the medical image borders accurately. The main goal of this study is to improve, detect features and gain better characteristics of medical images for a right diagnosis. We propose a Phase Stretch Transform (PST) new medical image edge-detection technique based on canny edge detection algorithm to solve this problem. The present method has been efficient in detecting borders of medical images. The results indicate the accuracy of the proposed edge-detection method is superior to that of conventional edge-detection methods for medical image.
Edge-detection, Phase Stretch Transform (PST), balance contrast enhancement technique (BCET), Canny Filter, Pre-processing, medical image