ICTACT Journal on Image and Video Processing

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


Affiliations
1 Department of Computer Science, Periyar University, India
2 Department of Computer Science, Government Arts and Science College, Komarapalayam, India
     

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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 an urgent job in the accomplishment of any image analysis task. The higher their quality, the simpler and less complex the undertakings are. Subsequently, reasonable techniques for image handling, for example, noise removal, geometric correction, edges and contrast enhancement or light correction are required. This paper investigates the 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 the method for filtering technique process.

Keywords

Filtering, Accuracy, Robustness, Detection, Classification.
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  • Preprocessing using Image Filtering Method and Techniques for Medical Image Compression Techniques

Abstract Views: 227  |  PDF Views: 0

Authors

B. Kanchanadevi
Department of Computer Science, Periyar University, India
P. R. Tamilselvi
Department of Computer Science, Government Arts and Science College, Komarapalayam, India

Abstract


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 an urgent job in the accomplishment of any image analysis task. The higher their quality, the simpler and less complex the undertakings are. Subsequently, reasonable techniques for image handling, for example, noise removal, geometric correction, edges and contrast enhancement or light correction are required. This paper investigates the 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 the method for filtering technique process.

Keywords


Filtering, Accuracy, Robustness, Detection, Classification.

References