The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Segmentation-based multilayer diagnosis lossless medical image compression
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Data-driven fuzzy sets for classification
International Journal of Advanced Intelligence Paradigms
Image thresholding using type II fuzzy sets
Pattern Recognition
Classification of CT brain images of head trauma
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
A unified granular fuzzy-neuro min-max relational framework for medical diagnosis
International Journal of Advanced Intelligence Paradigms
Medical image compression by sampling DCT coefficients
IEEE Transactions on Information Technology in Biomedicine
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
IEEE Transactions on Neural Networks
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This paper presents segmentation of hemorrhage from the computed tomography image. Fuzzy rule-based technique constituting three parameters namely mean difference, mode difference and grey level intensity is used. These parameters are fuzzified into four fuzzy regions with trapezoidal membership functions. The segmented arbitrary shaped region of interest information is employed in JPEG2000 encoder while encoding the image. It encodes ROI with highest priority in allocating bits as well as in transmission. 15 CT image slices with hemorrhage were used in the experiment. Experimental results shows good segmentation of hemorrhage region from CT images and allows encoding image at any desired bit rate, while maintaining lossless in ROI and lossy/lossless in non-ROI.