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Computed tomographic (CT) images are widely used in the diagnosis of stroke. In this paper, we present an automated method to detect and classify an abnormality into acute infarct, chronic infarct and hemorrhage at the slice level of non-contrast CT images. The proposed method consists of three main steps: image enhancement, detection of mid-line symmetry(More)
Adaptive Viterbi decoder is used for decoding codes of long constraint length, where as viterbi decoder is used for decoding short constraint lengths. In order to minimize power consumption and BER, we have implemented FastRadix 2 ACS in Viterbi decoder and Adaptive Viterbi decoder. The area consumption was more in Viterbi compared to Adaptive Viterbi(More)
One of the challenges to scale down transistor size is leakage current through gate oxide. This leakage current results from quantum mechanical tunneling of electrons from the gate electrode through the oxide and in to the transistor channel. Instead of maintaining transistor functionality at smaller scales, a new technology called Quantum cellular automata(More)
Invariance is an important aspect in image object recognition. Invariance of the output with respect to certain transformations of the input is a typical example of a priori knowledge. The concept of tangent vectors, which compactly represent the essence of these transformation invariances, and two classes of algorithms " tangent distance " and " tangent(More)
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