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Preprocessing Using Image Filtering Method and Techniques for Medical Image Compression Techniques

B. Kanchanadevi, Dr. P. R. Tamilselvi


The computational analysis of images is trying as it more often than not includes assignments, for example, segmentation, extraction of delegate features, matching, alignment, tracking, motion analysis, deformation estimation, and 3D reconstruction. To do every one of these undertakings in a completely programmed, productive and powerful way is commonly demanding. The nature of the info images assumes a urgent job in the accomplishment of any picture analysis task. The higher their quality, the simpler and less complex the undertakings are. Subsequently, reasonable techniques for picture handling, for example, noise removal, geometric correction, edges and contrast enhancement or light correction are required. In this paper investigated to different kinds of filtering techniques to be specific, Linear Filter, Wiener Filter, Hybrid Filter, Median Filter and Average Filter too. Every technique result performs to better method for filtering technique process.


Filtering, Accuracy, Robustness, Detection, Classification.

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