In this work, lossless compression is considered and an efficient Encryption–then-compression (ETC) scheme proposed for medical images. A considerably good level of security achieved by the where image encryption operated in prediction error domain. addition, reasonably encrypted images achieved. Comparison done between Gradient adjusted (GAP) & Median Edge Detector (MED) techniques GAP fou...

Figural object models represent object shape in terms of a hierarchy of simple shapes, protrusions, and indentations that we call "figures". Each figure has an unbranching, coarsely sampled net of medial primitives which carr>.: width information. The figural hierarchy and its medial primitives thus define the boundary with a -tolerance proportional to the corresponding medial widths, and assoc...

This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining the resulted transactional database, and a final phase to organize the resulted association rules in a classification model. The experimental results show that the method performs well, reaching over 80% in accuracy. Mo...

Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease progression. Within medical research (e.g. neuroscience research) they are used to investigate disease processes and understand normal development and ageing. Technically, medical imaging mainly processes missing, ambiguous, complementary, redundant and distor...