Abstract

With development in technology, medicine has been greatly benefited and new avenues for research opened up, one such field being the real time medical image processing whose applications have allowed medical practitioners worldwide to better diagnosis abilities. It consists of the implementation of various image processing algorithms like edge detection using mask filters, edge enhancement, interpolation etc resulting in better images suitable for diagnosis. The algorithmic computations in real-time may have high level of time based complexity and hence the use of digital signal processors (DSPs) for the implementation of such algorithms is proposed here. We employed TI 320 DM642 DSP for the purpose of image enhancement and edge detection purposes in our work. The problem required us to develop algorithms that are time and memory efficient and worked in agreement with real time specifications. This application desires that the DSPs be highly computationally efficient......

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Title: Image Enhancement And Edge Detection For Real Time System Applications
Approximate Word Count: 1637
Approximate Pages: 7 (250 words per double-spaced page)

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